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Andreas BlumauerCEO amp Managing Partner
Semantic Web Company PoolParty Semantic Suite
The Fast Track to Knowledge Engineering
Introduction
2Semantic Web
Company
founder amp CEO of
Andreas Blumauer
developer and vendor of
2004founded
70
current Version
active at
based on
Vienna
located
part of EnterpriseKnowledge Graphs
manages
standard for
part of
enriches
gt200serves customers
editor of
Taxonomies
is about
Ontologies
standard for
graduates
PoolParty Academy
Three Training Programs
3
Initial Launch September 2016 E-learning tracks 4 (incl Partner Track) Learners enrolled gt700 Certifications 330
Product related Technology oriented
PoolParty Academy
Get certified
4
httpswwwpoolpartybizacademy
Semantic Web Starter Kit
5
GET STARTED
6
Get your test account atwwwpoolpartybiz
Semantics in a nutshellKnowledge graphs
Linked Data ManagementText Analytics
Use Cases
7
Different shades of metadata
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
9
gt Read more
The Semantic Web
A standards-based graph of knowledge graphs
10
Linking Open Data cloud diagram 2017 by Andrejs Abele John P McCrae Paul Buitelaar Anja Jentzsch and Richard Cyganiak httplod-cloudnet
Google Knowledge Graph
Knowledge Graphs (KG) can cover general knowledge (often also called cross-domain or encyclopedic knowledge) or provide knowledge about special domains such as biomedicine
In most cases KGs are based on Semantic Web standards and have been generated by a mixture of automatic extraction from text or structured data and manual curation work
Examples
DBpedia Google Knowledge Graph YAGO OpenCyc Wikidata
11 Who is the inventor of the World Wide Web
DBpedia YAGO amp Co
Use weakly structured sources like Wikipedia as they were a structured data source
DBpedia is a frequently used Knowledge Graph covering general knowledge (often also called cross-domain or encyclopedic knowledge) also used as a central hub for entity linking to other graphs in the LOD cloud
Like YAGO it is harvested from Wikipedia and structured by its own ontology
Just recently new large-scale knowledge graphs like Diffbot or Unigraph were introduced
12 Show me all the countries using Euro on a map
Link to Online Demo
Semantic Search amp Assistants
Based on Knowledge Graphs amp Knowledge Extraction
13Perth
Australia
Perth is one of the most isolated major cities in the world with a population of 2022044 living in Greater Perth
Australia is a member of the OECD United Nations G20 ANZUS and the World Trade Organisation
Country
City
is a
is a
is located in
Support complex QampA
distance between
Which cities located in the Commonwealth of Nations have a population of more than 2 mio people
Commonwealth of Nations
International Organisation
is part of
is a
Avoid illogical answers
Implicit Semantics
Natural languages
Ambiguity versus Universality Context information and background knowledge needed
14Susan observes Mike on a tower with a telescope
Context is King
Natural languages
Ambiguity versus Universality Context information and background knowledge needed
15- Susan and Mike are persons- Yesterday Michael bought a Celestron- If one buys something (s)he owns it and
can use it- Mike and Michael is the same person- A Celestron is a telescope
Susan observes Mike on a tower with a telescope
Taxonomies
Introducing some explicit semantics
Taxonomies SKOS taxonomies are concept- and resource-based knowledge models SKOS stands for Simple Knowledge Organization System and is part of the
Semantic Web Standard16
skosConcept
Celestron
skosprefLabel
skosConcept
skosrelated
Mike
skosprefLabel
MichaelskosaltLabel
skosConcept
Susan
skosprefLabel
skosrelated skosConceptScheme
skosinScheme
skosinScheme
Person
skosprefLabel
skosConcept
Tower of Babel
skosprefLabel
skosConcept
skosbroader
Telescope
skosprefLabelskosrelated
Ontologies
Some more explicit semantics
Ontologies Ontologies classify things and define more specific relations and attributes Locally and globally recognised ontologies can be combined Ontologies can have various levels of expressivity (RDFS OWL)17
schemaProduct
Telescope
schemaname
foafPerson
schemaowns
Mike
foafnick
MichaelfoafgivenName
foafPerson
Susan
foafgivenName
myOntobservesgeo
SpatialThing
Tower of Babel
skosprefLabel
schemaBrand
schemabrand
Celestron
schemanamemyOntvisits
gt Read more
Reasoning
18 If someone buys a Celestron (s)he can use it as a telescope
buys
uses
is ais subproperty of
Reasoning over taxonomies
19
Celestron
Telescope
Optical device
NEXSTAR SLT
Take your explorations to new heights with Celestrons NexStarSLT
Available with a variety of optical tubes up to 127 mm in aperture the NexStar SLT has something for everyone Beginners will appreciate the intuive SkyAlign technology which makes aligning your devices computer to the night sky as easy as centering three bright objects in the eyepiece The NexStar SLT is a precision instrument that can grow with you in the hobby of amateur astronomy for years to come
Irsquom looking for documents about Optical Devices
skosbroader
skosbroader is a owlTransitiveProperty
Use Case
Faceted Search based on Taxonomies
20
Resolving Language Problems
21
ldquoWhile most people can deal with linguistic features as synonyms homographs polyhierarchies and even with far more peculiar characteristics of natural languages machines often struggle with automatic sense-making because of the lack of a semantic knowledge model that can be used programmaticallyrdquo
gt Read more
lsquoThingsrsquo but not Strings Using a lsquoSemantic Knowledge Graphrsquo
httpwwwmycomtaxonomy62346723
prefLabel
Retina
image
httpwwwmycomimages90546089
httpwwwmycomtaxonomy97345854
prefLabel
Funduscope
altLabelOphthalmoscope
httpwwwmycomcomtaxonomy4543567
prefLabel
Diagnostic Equipment
has broader
The power of knowledge graphs Agility extensibility precision
doc doc doc
Retinoscope Endoscope Flowmeter Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
EquipmentTraditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
Equipment
Diagnostic Equipment
Traditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
The power of knowledge graphsAgility extensibility precision
doc doc doc
FunduscopeDiagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Ophthalmoscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
Metadata per document1 No or little network effects2 No reuse of metadata3 Metadata resides in silos4 Data quality hard to measure5 Not machine-readable
Knowledge about metadata1 Explicit knowledge models2 Reusable and measurable3 Metadata is machine-processable4 Standards-based metadata5 Linkable metadata opens silos
How to build a Knowledge Graph
Anatomy of an Enterprise Knowledge Graph
30
Things and URIs
Venice
St Markrsquos Square
Peggy Guggenheim
Museum
httpmycom1
httpmycom2
httpmycom3
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Introduction
2Semantic Web
Company
founder amp CEO of
Andreas Blumauer
developer and vendor of
2004founded
70
current Version
active at
based on
Vienna
located
part of EnterpriseKnowledge Graphs
manages
standard for
part of
enriches
gt200serves customers
editor of
Taxonomies
is about
Ontologies
standard for
graduates
PoolParty Academy
Three Training Programs
3
Initial Launch September 2016 E-learning tracks 4 (incl Partner Track) Learners enrolled gt700 Certifications 330
Product related Technology oriented
PoolParty Academy
Get certified
4
httpswwwpoolpartybizacademy
Semantic Web Starter Kit
5
GET STARTED
6
Get your test account atwwwpoolpartybiz
Semantics in a nutshellKnowledge graphs
Linked Data ManagementText Analytics
Use Cases
7
Different shades of metadata
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
9
gt Read more
The Semantic Web
A standards-based graph of knowledge graphs
10
Linking Open Data cloud diagram 2017 by Andrejs Abele John P McCrae Paul Buitelaar Anja Jentzsch and Richard Cyganiak httplod-cloudnet
Google Knowledge Graph
Knowledge Graphs (KG) can cover general knowledge (often also called cross-domain or encyclopedic knowledge) or provide knowledge about special domains such as biomedicine
In most cases KGs are based on Semantic Web standards and have been generated by a mixture of automatic extraction from text or structured data and manual curation work
Examples
DBpedia Google Knowledge Graph YAGO OpenCyc Wikidata
11 Who is the inventor of the World Wide Web
DBpedia YAGO amp Co
Use weakly structured sources like Wikipedia as they were a structured data source
DBpedia is a frequently used Knowledge Graph covering general knowledge (often also called cross-domain or encyclopedic knowledge) also used as a central hub for entity linking to other graphs in the LOD cloud
Like YAGO it is harvested from Wikipedia and structured by its own ontology
Just recently new large-scale knowledge graphs like Diffbot or Unigraph were introduced
12 Show me all the countries using Euro on a map
Link to Online Demo
Semantic Search amp Assistants
Based on Knowledge Graphs amp Knowledge Extraction
13Perth
Australia
Perth is one of the most isolated major cities in the world with a population of 2022044 living in Greater Perth
Australia is a member of the OECD United Nations G20 ANZUS and the World Trade Organisation
Country
City
is a
is a
is located in
Support complex QampA
distance between
Which cities located in the Commonwealth of Nations have a population of more than 2 mio people
Commonwealth of Nations
International Organisation
is part of
is a
Avoid illogical answers
Implicit Semantics
Natural languages
Ambiguity versus Universality Context information and background knowledge needed
14Susan observes Mike on a tower with a telescope
Context is King
Natural languages
Ambiguity versus Universality Context information and background knowledge needed
15- Susan and Mike are persons- Yesterday Michael bought a Celestron- If one buys something (s)he owns it and
can use it- Mike and Michael is the same person- A Celestron is a telescope
Susan observes Mike on a tower with a telescope
Taxonomies
Introducing some explicit semantics
Taxonomies SKOS taxonomies are concept- and resource-based knowledge models SKOS stands for Simple Knowledge Organization System and is part of the
Semantic Web Standard16
skosConcept
Celestron
skosprefLabel
skosConcept
skosrelated
Mike
skosprefLabel
MichaelskosaltLabel
skosConcept
Susan
skosprefLabel
skosrelated skosConceptScheme
skosinScheme
skosinScheme
Person
skosprefLabel
skosConcept
Tower of Babel
skosprefLabel
skosConcept
skosbroader
Telescope
skosprefLabelskosrelated
Ontologies
Some more explicit semantics
Ontologies Ontologies classify things and define more specific relations and attributes Locally and globally recognised ontologies can be combined Ontologies can have various levels of expressivity (RDFS OWL)17
schemaProduct
Telescope
schemaname
foafPerson
schemaowns
Mike
foafnick
MichaelfoafgivenName
foafPerson
Susan
foafgivenName
myOntobservesgeo
SpatialThing
Tower of Babel
skosprefLabel
schemaBrand
schemabrand
Celestron
schemanamemyOntvisits
gt Read more
Reasoning
18 If someone buys a Celestron (s)he can use it as a telescope
buys
uses
is ais subproperty of
Reasoning over taxonomies
19
Celestron
Telescope
Optical device
NEXSTAR SLT
Take your explorations to new heights with Celestrons NexStarSLT
Available with a variety of optical tubes up to 127 mm in aperture the NexStar SLT has something for everyone Beginners will appreciate the intuive SkyAlign technology which makes aligning your devices computer to the night sky as easy as centering three bright objects in the eyepiece The NexStar SLT is a precision instrument that can grow with you in the hobby of amateur astronomy for years to come
Irsquom looking for documents about Optical Devices
skosbroader
skosbroader is a owlTransitiveProperty
Use Case
Faceted Search based on Taxonomies
20
Resolving Language Problems
21
ldquoWhile most people can deal with linguistic features as synonyms homographs polyhierarchies and even with far more peculiar characteristics of natural languages machines often struggle with automatic sense-making because of the lack of a semantic knowledge model that can be used programmaticallyrdquo
gt Read more
lsquoThingsrsquo but not Strings Using a lsquoSemantic Knowledge Graphrsquo
httpwwwmycomtaxonomy62346723
prefLabel
Retina
image
httpwwwmycomimages90546089
httpwwwmycomtaxonomy97345854
prefLabel
Funduscope
altLabelOphthalmoscope
httpwwwmycomcomtaxonomy4543567
prefLabel
Diagnostic Equipment
has broader
The power of knowledge graphs Agility extensibility precision
doc doc doc
Retinoscope Endoscope Flowmeter Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
EquipmentTraditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
Equipment
Diagnostic Equipment
Traditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
The power of knowledge graphsAgility extensibility precision
doc doc doc
FunduscopeDiagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Ophthalmoscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
Metadata per document1 No or little network effects2 No reuse of metadata3 Metadata resides in silos4 Data quality hard to measure5 Not machine-readable
Knowledge about metadata1 Explicit knowledge models2 Reusable and measurable3 Metadata is machine-processable4 Standards-based metadata5 Linkable metadata opens silos
How to build a Knowledge Graph
Anatomy of an Enterprise Knowledge Graph
30
Things and URIs
Venice
St Markrsquos Square
Peggy Guggenheim
Museum
httpmycom1
httpmycom2
httpmycom3
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
PoolParty Academy
Three Training Programs
3
Initial Launch September 2016 E-learning tracks 4 (incl Partner Track) Learners enrolled gt700 Certifications 330
Product related Technology oriented
PoolParty Academy
Get certified
4
httpswwwpoolpartybizacademy
Semantic Web Starter Kit
5
GET STARTED
6
Get your test account atwwwpoolpartybiz
Semantics in a nutshellKnowledge graphs
Linked Data ManagementText Analytics
Use Cases
7
Different shades of metadata
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
9
gt Read more
The Semantic Web
A standards-based graph of knowledge graphs
10
Linking Open Data cloud diagram 2017 by Andrejs Abele John P McCrae Paul Buitelaar Anja Jentzsch and Richard Cyganiak httplod-cloudnet
Google Knowledge Graph
Knowledge Graphs (KG) can cover general knowledge (often also called cross-domain or encyclopedic knowledge) or provide knowledge about special domains such as biomedicine
In most cases KGs are based on Semantic Web standards and have been generated by a mixture of automatic extraction from text or structured data and manual curation work
Examples
DBpedia Google Knowledge Graph YAGO OpenCyc Wikidata
11 Who is the inventor of the World Wide Web
DBpedia YAGO amp Co
Use weakly structured sources like Wikipedia as they were a structured data source
DBpedia is a frequently used Knowledge Graph covering general knowledge (often also called cross-domain or encyclopedic knowledge) also used as a central hub for entity linking to other graphs in the LOD cloud
Like YAGO it is harvested from Wikipedia and structured by its own ontology
Just recently new large-scale knowledge graphs like Diffbot or Unigraph were introduced
12 Show me all the countries using Euro on a map
Link to Online Demo
Semantic Search amp Assistants
Based on Knowledge Graphs amp Knowledge Extraction
13Perth
Australia
Perth is one of the most isolated major cities in the world with a population of 2022044 living in Greater Perth
Australia is a member of the OECD United Nations G20 ANZUS and the World Trade Organisation
Country
City
is a
is a
is located in
Support complex QampA
distance between
Which cities located in the Commonwealth of Nations have a population of more than 2 mio people
Commonwealth of Nations
International Organisation
is part of
is a
Avoid illogical answers
Implicit Semantics
Natural languages
Ambiguity versus Universality Context information and background knowledge needed
14Susan observes Mike on a tower with a telescope
Context is King
Natural languages
Ambiguity versus Universality Context information and background knowledge needed
15- Susan and Mike are persons- Yesterday Michael bought a Celestron- If one buys something (s)he owns it and
can use it- Mike and Michael is the same person- A Celestron is a telescope
Susan observes Mike on a tower with a telescope
Taxonomies
Introducing some explicit semantics
Taxonomies SKOS taxonomies are concept- and resource-based knowledge models SKOS stands for Simple Knowledge Organization System and is part of the
Semantic Web Standard16
skosConcept
Celestron
skosprefLabel
skosConcept
skosrelated
Mike
skosprefLabel
MichaelskosaltLabel
skosConcept
Susan
skosprefLabel
skosrelated skosConceptScheme
skosinScheme
skosinScheme
Person
skosprefLabel
skosConcept
Tower of Babel
skosprefLabel
skosConcept
skosbroader
Telescope
skosprefLabelskosrelated
Ontologies
Some more explicit semantics
Ontologies Ontologies classify things and define more specific relations and attributes Locally and globally recognised ontologies can be combined Ontologies can have various levels of expressivity (RDFS OWL)17
schemaProduct
Telescope
schemaname
foafPerson
schemaowns
Mike
foafnick
MichaelfoafgivenName
foafPerson
Susan
foafgivenName
myOntobservesgeo
SpatialThing
Tower of Babel
skosprefLabel
schemaBrand
schemabrand
Celestron
schemanamemyOntvisits
gt Read more
Reasoning
18 If someone buys a Celestron (s)he can use it as a telescope
buys
uses
is ais subproperty of
Reasoning over taxonomies
19
Celestron
Telescope
Optical device
NEXSTAR SLT
Take your explorations to new heights with Celestrons NexStarSLT
Available with a variety of optical tubes up to 127 mm in aperture the NexStar SLT has something for everyone Beginners will appreciate the intuive SkyAlign technology which makes aligning your devices computer to the night sky as easy as centering three bright objects in the eyepiece The NexStar SLT is a precision instrument that can grow with you in the hobby of amateur astronomy for years to come
Irsquom looking for documents about Optical Devices
skosbroader
skosbroader is a owlTransitiveProperty
Use Case
Faceted Search based on Taxonomies
20
Resolving Language Problems
21
ldquoWhile most people can deal with linguistic features as synonyms homographs polyhierarchies and even with far more peculiar characteristics of natural languages machines often struggle with automatic sense-making because of the lack of a semantic knowledge model that can be used programmaticallyrdquo
gt Read more
lsquoThingsrsquo but not Strings Using a lsquoSemantic Knowledge Graphrsquo
httpwwwmycomtaxonomy62346723
prefLabel
Retina
image
httpwwwmycomimages90546089
httpwwwmycomtaxonomy97345854
prefLabel
Funduscope
altLabelOphthalmoscope
httpwwwmycomcomtaxonomy4543567
prefLabel
Diagnostic Equipment
has broader
The power of knowledge graphs Agility extensibility precision
doc doc doc
Retinoscope Endoscope Flowmeter Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
EquipmentTraditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
Equipment
Diagnostic Equipment
Traditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
The power of knowledge graphsAgility extensibility precision
doc doc doc
FunduscopeDiagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Ophthalmoscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
Metadata per document1 No or little network effects2 No reuse of metadata3 Metadata resides in silos4 Data quality hard to measure5 Not machine-readable
Knowledge about metadata1 Explicit knowledge models2 Reusable and measurable3 Metadata is machine-processable4 Standards-based metadata5 Linkable metadata opens silos
How to build a Knowledge Graph
Anatomy of an Enterprise Knowledge Graph
30
Things and URIs
Venice
St Markrsquos Square
Peggy Guggenheim
Museum
httpmycom1
httpmycom2
httpmycom3
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
PoolParty Academy
Get certified
4
httpswwwpoolpartybizacademy
Semantic Web Starter Kit
5
GET STARTED
6
Get your test account atwwwpoolpartybiz
Semantics in a nutshellKnowledge graphs
Linked Data ManagementText Analytics
Use Cases
7
Different shades of metadata
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
9
gt Read more
The Semantic Web
A standards-based graph of knowledge graphs
10
Linking Open Data cloud diagram 2017 by Andrejs Abele John P McCrae Paul Buitelaar Anja Jentzsch and Richard Cyganiak httplod-cloudnet
Google Knowledge Graph
Knowledge Graphs (KG) can cover general knowledge (often also called cross-domain or encyclopedic knowledge) or provide knowledge about special domains such as biomedicine
In most cases KGs are based on Semantic Web standards and have been generated by a mixture of automatic extraction from text or structured data and manual curation work
Examples
DBpedia Google Knowledge Graph YAGO OpenCyc Wikidata
11 Who is the inventor of the World Wide Web
DBpedia YAGO amp Co
Use weakly structured sources like Wikipedia as they were a structured data source
DBpedia is a frequently used Knowledge Graph covering general knowledge (often also called cross-domain or encyclopedic knowledge) also used as a central hub for entity linking to other graphs in the LOD cloud
Like YAGO it is harvested from Wikipedia and structured by its own ontology
Just recently new large-scale knowledge graphs like Diffbot or Unigraph were introduced
12 Show me all the countries using Euro on a map
Link to Online Demo
Semantic Search amp Assistants
Based on Knowledge Graphs amp Knowledge Extraction
13Perth
Australia
Perth is one of the most isolated major cities in the world with a population of 2022044 living in Greater Perth
Australia is a member of the OECD United Nations G20 ANZUS and the World Trade Organisation
Country
City
is a
is a
is located in
Support complex QampA
distance between
Which cities located in the Commonwealth of Nations have a population of more than 2 mio people
Commonwealth of Nations
International Organisation
is part of
is a
Avoid illogical answers
Implicit Semantics
Natural languages
Ambiguity versus Universality Context information and background knowledge needed
14Susan observes Mike on a tower with a telescope
Context is King
Natural languages
Ambiguity versus Universality Context information and background knowledge needed
15- Susan and Mike are persons- Yesterday Michael bought a Celestron- If one buys something (s)he owns it and
can use it- Mike and Michael is the same person- A Celestron is a telescope
Susan observes Mike on a tower with a telescope
Taxonomies
Introducing some explicit semantics
Taxonomies SKOS taxonomies are concept- and resource-based knowledge models SKOS stands for Simple Knowledge Organization System and is part of the
Semantic Web Standard16
skosConcept
Celestron
skosprefLabel
skosConcept
skosrelated
Mike
skosprefLabel
MichaelskosaltLabel
skosConcept
Susan
skosprefLabel
skosrelated skosConceptScheme
skosinScheme
skosinScheme
Person
skosprefLabel
skosConcept
Tower of Babel
skosprefLabel
skosConcept
skosbroader
Telescope
skosprefLabelskosrelated
Ontologies
Some more explicit semantics
Ontologies Ontologies classify things and define more specific relations and attributes Locally and globally recognised ontologies can be combined Ontologies can have various levels of expressivity (RDFS OWL)17
schemaProduct
Telescope
schemaname
foafPerson
schemaowns
Mike
foafnick
MichaelfoafgivenName
foafPerson
Susan
foafgivenName
myOntobservesgeo
SpatialThing
Tower of Babel
skosprefLabel
schemaBrand
schemabrand
Celestron
schemanamemyOntvisits
gt Read more
Reasoning
18 If someone buys a Celestron (s)he can use it as a telescope
buys
uses
is ais subproperty of
Reasoning over taxonomies
19
Celestron
Telescope
Optical device
NEXSTAR SLT
Take your explorations to new heights with Celestrons NexStarSLT
Available with a variety of optical tubes up to 127 mm in aperture the NexStar SLT has something for everyone Beginners will appreciate the intuive SkyAlign technology which makes aligning your devices computer to the night sky as easy as centering three bright objects in the eyepiece The NexStar SLT is a precision instrument that can grow with you in the hobby of amateur astronomy for years to come
Irsquom looking for documents about Optical Devices
skosbroader
skosbroader is a owlTransitiveProperty
Use Case
Faceted Search based on Taxonomies
20
Resolving Language Problems
21
ldquoWhile most people can deal with linguistic features as synonyms homographs polyhierarchies and even with far more peculiar characteristics of natural languages machines often struggle with automatic sense-making because of the lack of a semantic knowledge model that can be used programmaticallyrdquo
gt Read more
lsquoThingsrsquo but not Strings Using a lsquoSemantic Knowledge Graphrsquo
httpwwwmycomtaxonomy62346723
prefLabel
Retina
image
httpwwwmycomimages90546089
httpwwwmycomtaxonomy97345854
prefLabel
Funduscope
altLabelOphthalmoscope
httpwwwmycomcomtaxonomy4543567
prefLabel
Diagnostic Equipment
has broader
The power of knowledge graphs Agility extensibility precision
doc doc doc
Retinoscope Endoscope Flowmeter Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
EquipmentTraditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
Equipment
Diagnostic Equipment
Traditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
The power of knowledge graphsAgility extensibility precision
doc doc doc
FunduscopeDiagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Ophthalmoscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
Metadata per document1 No or little network effects2 No reuse of metadata3 Metadata resides in silos4 Data quality hard to measure5 Not machine-readable
Knowledge about metadata1 Explicit knowledge models2 Reusable and measurable3 Metadata is machine-processable4 Standards-based metadata5 Linkable metadata opens silos
How to build a Knowledge Graph
Anatomy of an Enterprise Knowledge Graph
30
Things and URIs
Venice
St Markrsquos Square
Peggy Guggenheim
Museum
httpmycom1
httpmycom2
httpmycom3
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Semantic Web Starter Kit
5
GET STARTED
6
Get your test account atwwwpoolpartybiz
Semantics in a nutshellKnowledge graphs
Linked Data ManagementText Analytics
Use Cases
7
Different shades of metadata
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
9
gt Read more
The Semantic Web
A standards-based graph of knowledge graphs
10
Linking Open Data cloud diagram 2017 by Andrejs Abele John P McCrae Paul Buitelaar Anja Jentzsch and Richard Cyganiak httplod-cloudnet
Google Knowledge Graph
Knowledge Graphs (KG) can cover general knowledge (often also called cross-domain or encyclopedic knowledge) or provide knowledge about special domains such as biomedicine
In most cases KGs are based on Semantic Web standards and have been generated by a mixture of automatic extraction from text or structured data and manual curation work
Examples
DBpedia Google Knowledge Graph YAGO OpenCyc Wikidata
11 Who is the inventor of the World Wide Web
DBpedia YAGO amp Co
Use weakly structured sources like Wikipedia as they were a structured data source
DBpedia is a frequently used Knowledge Graph covering general knowledge (often also called cross-domain or encyclopedic knowledge) also used as a central hub for entity linking to other graphs in the LOD cloud
Like YAGO it is harvested from Wikipedia and structured by its own ontology
Just recently new large-scale knowledge graphs like Diffbot or Unigraph were introduced
12 Show me all the countries using Euro on a map
Link to Online Demo
Semantic Search amp Assistants
Based on Knowledge Graphs amp Knowledge Extraction
13Perth
Australia
Perth is one of the most isolated major cities in the world with a population of 2022044 living in Greater Perth
Australia is a member of the OECD United Nations G20 ANZUS and the World Trade Organisation
Country
City
is a
is a
is located in
Support complex QampA
distance between
Which cities located in the Commonwealth of Nations have a population of more than 2 mio people
Commonwealth of Nations
International Organisation
is part of
is a
Avoid illogical answers
Implicit Semantics
Natural languages
Ambiguity versus Universality Context information and background knowledge needed
14Susan observes Mike on a tower with a telescope
Context is King
Natural languages
Ambiguity versus Universality Context information and background knowledge needed
15- Susan and Mike are persons- Yesterday Michael bought a Celestron- If one buys something (s)he owns it and
can use it- Mike and Michael is the same person- A Celestron is a telescope
Susan observes Mike on a tower with a telescope
Taxonomies
Introducing some explicit semantics
Taxonomies SKOS taxonomies are concept- and resource-based knowledge models SKOS stands for Simple Knowledge Organization System and is part of the
Semantic Web Standard16
skosConcept
Celestron
skosprefLabel
skosConcept
skosrelated
Mike
skosprefLabel
MichaelskosaltLabel
skosConcept
Susan
skosprefLabel
skosrelated skosConceptScheme
skosinScheme
skosinScheme
Person
skosprefLabel
skosConcept
Tower of Babel
skosprefLabel
skosConcept
skosbroader
Telescope
skosprefLabelskosrelated
Ontologies
Some more explicit semantics
Ontologies Ontologies classify things and define more specific relations and attributes Locally and globally recognised ontologies can be combined Ontologies can have various levels of expressivity (RDFS OWL)17
schemaProduct
Telescope
schemaname
foafPerson
schemaowns
Mike
foafnick
MichaelfoafgivenName
foafPerson
Susan
foafgivenName
myOntobservesgeo
SpatialThing
Tower of Babel
skosprefLabel
schemaBrand
schemabrand
Celestron
schemanamemyOntvisits
gt Read more
Reasoning
18 If someone buys a Celestron (s)he can use it as a telescope
buys
uses
is ais subproperty of
Reasoning over taxonomies
19
Celestron
Telescope
Optical device
NEXSTAR SLT
Take your explorations to new heights with Celestrons NexStarSLT
Available with a variety of optical tubes up to 127 mm in aperture the NexStar SLT has something for everyone Beginners will appreciate the intuive SkyAlign technology which makes aligning your devices computer to the night sky as easy as centering three bright objects in the eyepiece The NexStar SLT is a precision instrument that can grow with you in the hobby of amateur astronomy for years to come
Irsquom looking for documents about Optical Devices
skosbroader
skosbroader is a owlTransitiveProperty
Use Case
Faceted Search based on Taxonomies
20
Resolving Language Problems
21
ldquoWhile most people can deal with linguistic features as synonyms homographs polyhierarchies and even with far more peculiar characteristics of natural languages machines often struggle with automatic sense-making because of the lack of a semantic knowledge model that can be used programmaticallyrdquo
gt Read more
lsquoThingsrsquo but not Strings Using a lsquoSemantic Knowledge Graphrsquo
httpwwwmycomtaxonomy62346723
prefLabel
Retina
image
httpwwwmycomimages90546089
httpwwwmycomtaxonomy97345854
prefLabel
Funduscope
altLabelOphthalmoscope
httpwwwmycomcomtaxonomy4543567
prefLabel
Diagnostic Equipment
has broader
The power of knowledge graphs Agility extensibility precision
doc doc doc
Retinoscope Endoscope Flowmeter Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
EquipmentTraditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
Equipment
Diagnostic Equipment
Traditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
The power of knowledge graphsAgility extensibility precision
doc doc doc
FunduscopeDiagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Ophthalmoscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
Metadata per document1 No or little network effects2 No reuse of metadata3 Metadata resides in silos4 Data quality hard to measure5 Not machine-readable
Knowledge about metadata1 Explicit knowledge models2 Reusable and measurable3 Metadata is machine-processable4 Standards-based metadata5 Linkable metadata opens silos
How to build a Knowledge Graph
Anatomy of an Enterprise Knowledge Graph
30
Things and URIs
Venice
St Markrsquos Square
Peggy Guggenheim
Museum
httpmycom1
httpmycom2
httpmycom3
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
GET STARTED
6
Get your test account atwwwpoolpartybiz
Semantics in a nutshellKnowledge graphs
Linked Data ManagementText Analytics
Use Cases
7
Different shades of metadata
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
9
gt Read more
The Semantic Web
A standards-based graph of knowledge graphs
10
Linking Open Data cloud diagram 2017 by Andrejs Abele John P McCrae Paul Buitelaar Anja Jentzsch and Richard Cyganiak httplod-cloudnet
Google Knowledge Graph
Knowledge Graphs (KG) can cover general knowledge (often also called cross-domain or encyclopedic knowledge) or provide knowledge about special domains such as biomedicine
In most cases KGs are based on Semantic Web standards and have been generated by a mixture of automatic extraction from text or structured data and manual curation work
Examples
DBpedia Google Knowledge Graph YAGO OpenCyc Wikidata
11 Who is the inventor of the World Wide Web
DBpedia YAGO amp Co
Use weakly structured sources like Wikipedia as they were a structured data source
DBpedia is a frequently used Knowledge Graph covering general knowledge (often also called cross-domain or encyclopedic knowledge) also used as a central hub for entity linking to other graphs in the LOD cloud
Like YAGO it is harvested from Wikipedia and structured by its own ontology
Just recently new large-scale knowledge graphs like Diffbot or Unigraph were introduced
12 Show me all the countries using Euro on a map
Link to Online Demo
Semantic Search amp Assistants
Based on Knowledge Graphs amp Knowledge Extraction
13Perth
Australia
Perth is one of the most isolated major cities in the world with a population of 2022044 living in Greater Perth
Australia is a member of the OECD United Nations G20 ANZUS and the World Trade Organisation
Country
City
is a
is a
is located in
Support complex QampA
distance between
Which cities located in the Commonwealth of Nations have a population of more than 2 mio people
Commonwealth of Nations
International Organisation
is part of
is a
Avoid illogical answers
Implicit Semantics
Natural languages
Ambiguity versus Universality Context information and background knowledge needed
14Susan observes Mike on a tower with a telescope
Context is King
Natural languages
Ambiguity versus Universality Context information and background knowledge needed
15- Susan and Mike are persons- Yesterday Michael bought a Celestron- If one buys something (s)he owns it and
can use it- Mike and Michael is the same person- A Celestron is a telescope
Susan observes Mike on a tower with a telescope
Taxonomies
Introducing some explicit semantics
Taxonomies SKOS taxonomies are concept- and resource-based knowledge models SKOS stands for Simple Knowledge Organization System and is part of the
Semantic Web Standard16
skosConcept
Celestron
skosprefLabel
skosConcept
skosrelated
Mike
skosprefLabel
MichaelskosaltLabel
skosConcept
Susan
skosprefLabel
skosrelated skosConceptScheme
skosinScheme
skosinScheme
Person
skosprefLabel
skosConcept
Tower of Babel
skosprefLabel
skosConcept
skosbroader
Telescope
skosprefLabelskosrelated
Ontologies
Some more explicit semantics
Ontologies Ontologies classify things and define more specific relations and attributes Locally and globally recognised ontologies can be combined Ontologies can have various levels of expressivity (RDFS OWL)17
schemaProduct
Telescope
schemaname
foafPerson
schemaowns
Mike
foafnick
MichaelfoafgivenName
foafPerson
Susan
foafgivenName
myOntobservesgeo
SpatialThing
Tower of Babel
skosprefLabel
schemaBrand
schemabrand
Celestron
schemanamemyOntvisits
gt Read more
Reasoning
18 If someone buys a Celestron (s)he can use it as a telescope
buys
uses
is ais subproperty of
Reasoning over taxonomies
19
Celestron
Telescope
Optical device
NEXSTAR SLT
Take your explorations to new heights with Celestrons NexStarSLT
Available with a variety of optical tubes up to 127 mm in aperture the NexStar SLT has something for everyone Beginners will appreciate the intuive SkyAlign technology which makes aligning your devices computer to the night sky as easy as centering three bright objects in the eyepiece The NexStar SLT is a precision instrument that can grow with you in the hobby of amateur astronomy for years to come
Irsquom looking for documents about Optical Devices
skosbroader
skosbroader is a owlTransitiveProperty
Use Case
Faceted Search based on Taxonomies
20
Resolving Language Problems
21
ldquoWhile most people can deal with linguistic features as synonyms homographs polyhierarchies and even with far more peculiar characteristics of natural languages machines often struggle with automatic sense-making because of the lack of a semantic knowledge model that can be used programmaticallyrdquo
gt Read more
lsquoThingsrsquo but not Strings Using a lsquoSemantic Knowledge Graphrsquo
httpwwwmycomtaxonomy62346723
prefLabel
Retina
image
httpwwwmycomimages90546089
httpwwwmycomtaxonomy97345854
prefLabel
Funduscope
altLabelOphthalmoscope
httpwwwmycomcomtaxonomy4543567
prefLabel
Diagnostic Equipment
has broader
The power of knowledge graphs Agility extensibility precision
doc doc doc
Retinoscope Endoscope Flowmeter Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
EquipmentTraditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
Equipment
Diagnostic Equipment
Traditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
The power of knowledge graphsAgility extensibility precision
doc doc doc
FunduscopeDiagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Ophthalmoscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
Metadata per document1 No or little network effects2 No reuse of metadata3 Metadata resides in silos4 Data quality hard to measure5 Not machine-readable
Knowledge about metadata1 Explicit knowledge models2 Reusable and measurable3 Metadata is machine-processable4 Standards-based metadata5 Linkable metadata opens silos
How to build a Knowledge Graph
Anatomy of an Enterprise Knowledge Graph
30
Things and URIs
Venice
St Markrsquos Square
Peggy Guggenheim
Museum
httpmycom1
httpmycom2
httpmycom3
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Semantics in a nutshellKnowledge graphs
Linked Data ManagementText Analytics
Use Cases
7
Different shades of metadata
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
9
gt Read more
The Semantic Web
A standards-based graph of knowledge graphs
10
Linking Open Data cloud diagram 2017 by Andrejs Abele John P McCrae Paul Buitelaar Anja Jentzsch and Richard Cyganiak httplod-cloudnet
Google Knowledge Graph
Knowledge Graphs (KG) can cover general knowledge (often also called cross-domain or encyclopedic knowledge) or provide knowledge about special domains such as biomedicine
In most cases KGs are based on Semantic Web standards and have been generated by a mixture of automatic extraction from text or structured data and manual curation work
Examples
DBpedia Google Knowledge Graph YAGO OpenCyc Wikidata
11 Who is the inventor of the World Wide Web
DBpedia YAGO amp Co
Use weakly structured sources like Wikipedia as they were a structured data source
DBpedia is a frequently used Knowledge Graph covering general knowledge (often also called cross-domain or encyclopedic knowledge) also used as a central hub for entity linking to other graphs in the LOD cloud
Like YAGO it is harvested from Wikipedia and structured by its own ontology
Just recently new large-scale knowledge graphs like Diffbot or Unigraph were introduced
12 Show me all the countries using Euro on a map
Link to Online Demo
Semantic Search amp Assistants
Based on Knowledge Graphs amp Knowledge Extraction
13Perth
Australia
Perth is one of the most isolated major cities in the world with a population of 2022044 living in Greater Perth
Australia is a member of the OECD United Nations G20 ANZUS and the World Trade Organisation
Country
City
is a
is a
is located in
Support complex QampA
distance between
Which cities located in the Commonwealth of Nations have a population of more than 2 mio people
Commonwealth of Nations
International Organisation
is part of
is a
Avoid illogical answers
Implicit Semantics
Natural languages
Ambiguity versus Universality Context information and background knowledge needed
14Susan observes Mike on a tower with a telescope
Context is King
Natural languages
Ambiguity versus Universality Context information and background knowledge needed
15- Susan and Mike are persons- Yesterday Michael bought a Celestron- If one buys something (s)he owns it and
can use it- Mike and Michael is the same person- A Celestron is a telescope
Susan observes Mike on a tower with a telescope
Taxonomies
Introducing some explicit semantics
Taxonomies SKOS taxonomies are concept- and resource-based knowledge models SKOS stands for Simple Knowledge Organization System and is part of the
Semantic Web Standard16
skosConcept
Celestron
skosprefLabel
skosConcept
skosrelated
Mike
skosprefLabel
MichaelskosaltLabel
skosConcept
Susan
skosprefLabel
skosrelated skosConceptScheme
skosinScheme
skosinScheme
Person
skosprefLabel
skosConcept
Tower of Babel
skosprefLabel
skosConcept
skosbroader
Telescope
skosprefLabelskosrelated
Ontologies
Some more explicit semantics
Ontologies Ontologies classify things and define more specific relations and attributes Locally and globally recognised ontologies can be combined Ontologies can have various levels of expressivity (RDFS OWL)17
schemaProduct
Telescope
schemaname
foafPerson
schemaowns
Mike
foafnick
MichaelfoafgivenName
foafPerson
Susan
foafgivenName
myOntobservesgeo
SpatialThing
Tower of Babel
skosprefLabel
schemaBrand
schemabrand
Celestron
schemanamemyOntvisits
gt Read more
Reasoning
18 If someone buys a Celestron (s)he can use it as a telescope
buys
uses
is ais subproperty of
Reasoning over taxonomies
19
Celestron
Telescope
Optical device
NEXSTAR SLT
Take your explorations to new heights with Celestrons NexStarSLT
Available with a variety of optical tubes up to 127 mm in aperture the NexStar SLT has something for everyone Beginners will appreciate the intuive SkyAlign technology which makes aligning your devices computer to the night sky as easy as centering three bright objects in the eyepiece The NexStar SLT is a precision instrument that can grow with you in the hobby of amateur astronomy for years to come
Irsquom looking for documents about Optical Devices
skosbroader
skosbroader is a owlTransitiveProperty
Use Case
Faceted Search based on Taxonomies
20
Resolving Language Problems
21
ldquoWhile most people can deal with linguistic features as synonyms homographs polyhierarchies and even with far more peculiar characteristics of natural languages machines often struggle with automatic sense-making because of the lack of a semantic knowledge model that can be used programmaticallyrdquo
gt Read more
lsquoThingsrsquo but not Strings Using a lsquoSemantic Knowledge Graphrsquo
httpwwwmycomtaxonomy62346723
prefLabel
Retina
image
httpwwwmycomimages90546089
httpwwwmycomtaxonomy97345854
prefLabel
Funduscope
altLabelOphthalmoscope
httpwwwmycomcomtaxonomy4543567
prefLabel
Diagnostic Equipment
has broader
The power of knowledge graphs Agility extensibility precision
doc doc doc
Retinoscope Endoscope Flowmeter Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
EquipmentTraditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
Equipment
Diagnostic Equipment
Traditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
The power of knowledge graphsAgility extensibility precision
doc doc doc
FunduscopeDiagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Ophthalmoscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
Metadata per document1 No or little network effects2 No reuse of metadata3 Metadata resides in silos4 Data quality hard to measure5 Not machine-readable
Knowledge about metadata1 Explicit knowledge models2 Reusable and measurable3 Metadata is machine-processable4 Standards-based metadata5 Linkable metadata opens silos
How to build a Knowledge Graph
Anatomy of an Enterprise Knowledge Graph
30
Things and URIs
Venice
St Markrsquos Square
Peggy Guggenheim
Museum
httpmycom1
httpmycom2
httpmycom3
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Different shades of metadata
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
9
gt Read more
The Semantic Web
A standards-based graph of knowledge graphs
10
Linking Open Data cloud diagram 2017 by Andrejs Abele John P McCrae Paul Buitelaar Anja Jentzsch and Richard Cyganiak httplod-cloudnet
Google Knowledge Graph
Knowledge Graphs (KG) can cover general knowledge (often also called cross-domain or encyclopedic knowledge) or provide knowledge about special domains such as biomedicine
In most cases KGs are based on Semantic Web standards and have been generated by a mixture of automatic extraction from text or structured data and manual curation work
Examples
DBpedia Google Knowledge Graph YAGO OpenCyc Wikidata
11 Who is the inventor of the World Wide Web
DBpedia YAGO amp Co
Use weakly structured sources like Wikipedia as they were a structured data source
DBpedia is a frequently used Knowledge Graph covering general knowledge (often also called cross-domain or encyclopedic knowledge) also used as a central hub for entity linking to other graphs in the LOD cloud
Like YAGO it is harvested from Wikipedia and structured by its own ontology
Just recently new large-scale knowledge graphs like Diffbot or Unigraph were introduced
12 Show me all the countries using Euro on a map
Link to Online Demo
Semantic Search amp Assistants
Based on Knowledge Graphs amp Knowledge Extraction
13Perth
Australia
Perth is one of the most isolated major cities in the world with a population of 2022044 living in Greater Perth
Australia is a member of the OECD United Nations G20 ANZUS and the World Trade Organisation
Country
City
is a
is a
is located in
Support complex QampA
distance between
Which cities located in the Commonwealth of Nations have a population of more than 2 mio people
Commonwealth of Nations
International Organisation
is part of
is a
Avoid illogical answers
Implicit Semantics
Natural languages
Ambiguity versus Universality Context information and background knowledge needed
14Susan observes Mike on a tower with a telescope
Context is King
Natural languages
Ambiguity versus Universality Context information and background knowledge needed
15- Susan and Mike are persons- Yesterday Michael bought a Celestron- If one buys something (s)he owns it and
can use it- Mike and Michael is the same person- A Celestron is a telescope
Susan observes Mike on a tower with a telescope
Taxonomies
Introducing some explicit semantics
Taxonomies SKOS taxonomies are concept- and resource-based knowledge models SKOS stands for Simple Knowledge Organization System and is part of the
Semantic Web Standard16
skosConcept
Celestron
skosprefLabel
skosConcept
skosrelated
Mike
skosprefLabel
MichaelskosaltLabel
skosConcept
Susan
skosprefLabel
skosrelated skosConceptScheme
skosinScheme
skosinScheme
Person
skosprefLabel
skosConcept
Tower of Babel
skosprefLabel
skosConcept
skosbroader
Telescope
skosprefLabelskosrelated
Ontologies
Some more explicit semantics
Ontologies Ontologies classify things and define more specific relations and attributes Locally and globally recognised ontologies can be combined Ontologies can have various levels of expressivity (RDFS OWL)17
schemaProduct
Telescope
schemaname
foafPerson
schemaowns
Mike
foafnick
MichaelfoafgivenName
foafPerson
Susan
foafgivenName
myOntobservesgeo
SpatialThing
Tower of Babel
skosprefLabel
schemaBrand
schemabrand
Celestron
schemanamemyOntvisits
gt Read more
Reasoning
18 If someone buys a Celestron (s)he can use it as a telescope
buys
uses
is ais subproperty of
Reasoning over taxonomies
19
Celestron
Telescope
Optical device
NEXSTAR SLT
Take your explorations to new heights with Celestrons NexStarSLT
Available with a variety of optical tubes up to 127 mm in aperture the NexStar SLT has something for everyone Beginners will appreciate the intuive SkyAlign technology which makes aligning your devices computer to the night sky as easy as centering three bright objects in the eyepiece The NexStar SLT is a precision instrument that can grow with you in the hobby of amateur astronomy for years to come
Irsquom looking for documents about Optical Devices
skosbroader
skosbroader is a owlTransitiveProperty
Use Case
Faceted Search based on Taxonomies
20
Resolving Language Problems
21
ldquoWhile most people can deal with linguistic features as synonyms homographs polyhierarchies and even with far more peculiar characteristics of natural languages machines often struggle with automatic sense-making because of the lack of a semantic knowledge model that can be used programmaticallyrdquo
gt Read more
lsquoThingsrsquo but not Strings Using a lsquoSemantic Knowledge Graphrsquo
httpwwwmycomtaxonomy62346723
prefLabel
Retina
image
httpwwwmycomimages90546089
httpwwwmycomtaxonomy97345854
prefLabel
Funduscope
altLabelOphthalmoscope
httpwwwmycomcomtaxonomy4543567
prefLabel
Diagnostic Equipment
has broader
The power of knowledge graphs Agility extensibility precision
doc doc doc
Retinoscope Endoscope Flowmeter Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
EquipmentTraditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
Equipment
Diagnostic Equipment
Traditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
The power of knowledge graphsAgility extensibility precision
doc doc doc
FunduscopeDiagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Ophthalmoscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
Metadata per document1 No or little network effects2 No reuse of metadata3 Metadata resides in silos4 Data quality hard to measure5 Not machine-readable
Knowledge about metadata1 Explicit knowledge models2 Reusable and measurable3 Metadata is machine-processable4 Standards-based metadata5 Linkable metadata opens silos
How to build a Knowledge Graph
Anatomy of an Enterprise Knowledge Graph
30
Things and URIs
Venice
St Markrsquos Square
Peggy Guggenheim
Museum
httpmycom1
httpmycom2
httpmycom3
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
9
gt Read more
The Semantic Web
A standards-based graph of knowledge graphs
10
Linking Open Data cloud diagram 2017 by Andrejs Abele John P McCrae Paul Buitelaar Anja Jentzsch and Richard Cyganiak httplod-cloudnet
Google Knowledge Graph
Knowledge Graphs (KG) can cover general knowledge (often also called cross-domain or encyclopedic knowledge) or provide knowledge about special domains such as biomedicine
In most cases KGs are based on Semantic Web standards and have been generated by a mixture of automatic extraction from text or structured data and manual curation work
Examples
DBpedia Google Knowledge Graph YAGO OpenCyc Wikidata
11 Who is the inventor of the World Wide Web
DBpedia YAGO amp Co
Use weakly structured sources like Wikipedia as they were a structured data source
DBpedia is a frequently used Knowledge Graph covering general knowledge (often also called cross-domain or encyclopedic knowledge) also used as a central hub for entity linking to other graphs in the LOD cloud
Like YAGO it is harvested from Wikipedia and structured by its own ontology
Just recently new large-scale knowledge graphs like Diffbot or Unigraph were introduced
12 Show me all the countries using Euro on a map
Link to Online Demo
Semantic Search amp Assistants
Based on Knowledge Graphs amp Knowledge Extraction
13Perth
Australia
Perth is one of the most isolated major cities in the world with a population of 2022044 living in Greater Perth
Australia is a member of the OECD United Nations G20 ANZUS and the World Trade Organisation
Country
City
is a
is a
is located in
Support complex QampA
distance between
Which cities located in the Commonwealth of Nations have a population of more than 2 mio people
Commonwealth of Nations
International Organisation
is part of
is a
Avoid illogical answers
Implicit Semantics
Natural languages
Ambiguity versus Universality Context information and background knowledge needed
14Susan observes Mike on a tower with a telescope
Context is King
Natural languages
Ambiguity versus Universality Context information and background knowledge needed
15- Susan and Mike are persons- Yesterday Michael bought a Celestron- If one buys something (s)he owns it and
can use it- Mike and Michael is the same person- A Celestron is a telescope
Susan observes Mike on a tower with a telescope
Taxonomies
Introducing some explicit semantics
Taxonomies SKOS taxonomies are concept- and resource-based knowledge models SKOS stands for Simple Knowledge Organization System and is part of the
Semantic Web Standard16
skosConcept
Celestron
skosprefLabel
skosConcept
skosrelated
Mike
skosprefLabel
MichaelskosaltLabel
skosConcept
Susan
skosprefLabel
skosrelated skosConceptScheme
skosinScheme
skosinScheme
Person
skosprefLabel
skosConcept
Tower of Babel
skosprefLabel
skosConcept
skosbroader
Telescope
skosprefLabelskosrelated
Ontologies
Some more explicit semantics
Ontologies Ontologies classify things and define more specific relations and attributes Locally and globally recognised ontologies can be combined Ontologies can have various levels of expressivity (RDFS OWL)17
schemaProduct
Telescope
schemaname
foafPerson
schemaowns
Mike
foafnick
MichaelfoafgivenName
foafPerson
Susan
foafgivenName
myOntobservesgeo
SpatialThing
Tower of Babel
skosprefLabel
schemaBrand
schemabrand
Celestron
schemanamemyOntvisits
gt Read more
Reasoning
18 If someone buys a Celestron (s)he can use it as a telescope
buys
uses
is ais subproperty of
Reasoning over taxonomies
19
Celestron
Telescope
Optical device
NEXSTAR SLT
Take your explorations to new heights with Celestrons NexStarSLT
Available with a variety of optical tubes up to 127 mm in aperture the NexStar SLT has something for everyone Beginners will appreciate the intuive SkyAlign technology which makes aligning your devices computer to the night sky as easy as centering three bright objects in the eyepiece The NexStar SLT is a precision instrument that can grow with you in the hobby of amateur astronomy for years to come
Irsquom looking for documents about Optical Devices
skosbroader
skosbroader is a owlTransitiveProperty
Use Case
Faceted Search based on Taxonomies
20
Resolving Language Problems
21
ldquoWhile most people can deal with linguistic features as synonyms homographs polyhierarchies and even with far more peculiar characteristics of natural languages machines often struggle with automatic sense-making because of the lack of a semantic knowledge model that can be used programmaticallyrdquo
gt Read more
lsquoThingsrsquo but not Strings Using a lsquoSemantic Knowledge Graphrsquo
httpwwwmycomtaxonomy62346723
prefLabel
Retina
image
httpwwwmycomimages90546089
httpwwwmycomtaxonomy97345854
prefLabel
Funduscope
altLabelOphthalmoscope
httpwwwmycomcomtaxonomy4543567
prefLabel
Diagnostic Equipment
has broader
The power of knowledge graphs Agility extensibility precision
doc doc doc
Retinoscope Endoscope Flowmeter Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
EquipmentTraditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
Equipment
Diagnostic Equipment
Traditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
The power of knowledge graphsAgility extensibility precision
doc doc doc
FunduscopeDiagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Ophthalmoscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
Metadata per document1 No or little network effects2 No reuse of metadata3 Metadata resides in silos4 Data quality hard to measure5 Not machine-readable
Knowledge about metadata1 Explicit knowledge models2 Reusable and measurable3 Metadata is machine-processable4 Standards-based metadata5 Linkable metadata opens silos
How to build a Knowledge Graph
Anatomy of an Enterprise Knowledge Graph
30
Things and URIs
Venice
St Markrsquos Square
Peggy Guggenheim
Museum
httpmycom1
httpmycom2
httpmycom3
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
The Semantic Web
A standards-based graph of knowledge graphs
10
Linking Open Data cloud diagram 2017 by Andrejs Abele John P McCrae Paul Buitelaar Anja Jentzsch and Richard Cyganiak httplod-cloudnet
Google Knowledge Graph
Knowledge Graphs (KG) can cover general knowledge (often also called cross-domain or encyclopedic knowledge) or provide knowledge about special domains such as biomedicine
In most cases KGs are based on Semantic Web standards and have been generated by a mixture of automatic extraction from text or structured data and manual curation work
Examples
DBpedia Google Knowledge Graph YAGO OpenCyc Wikidata
11 Who is the inventor of the World Wide Web
DBpedia YAGO amp Co
Use weakly structured sources like Wikipedia as they were a structured data source
DBpedia is a frequently used Knowledge Graph covering general knowledge (often also called cross-domain or encyclopedic knowledge) also used as a central hub for entity linking to other graphs in the LOD cloud
Like YAGO it is harvested from Wikipedia and structured by its own ontology
Just recently new large-scale knowledge graphs like Diffbot or Unigraph were introduced
12 Show me all the countries using Euro on a map
Link to Online Demo
Semantic Search amp Assistants
Based on Knowledge Graphs amp Knowledge Extraction
13Perth
Australia
Perth is one of the most isolated major cities in the world with a population of 2022044 living in Greater Perth
Australia is a member of the OECD United Nations G20 ANZUS and the World Trade Organisation
Country
City
is a
is a
is located in
Support complex QampA
distance between
Which cities located in the Commonwealth of Nations have a population of more than 2 mio people
Commonwealth of Nations
International Organisation
is part of
is a
Avoid illogical answers
Implicit Semantics
Natural languages
Ambiguity versus Universality Context information and background knowledge needed
14Susan observes Mike on a tower with a telescope
Context is King
Natural languages
Ambiguity versus Universality Context information and background knowledge needed
15- Susan and Mike are persons- Yesterday Michael bought a Celestron- If one buys something (s)he owns it and
can use it- Mike and Michael is the same person- A Celestron is a telescope
Susan observes Mike on a tower with a telescope
Taxonomies
Introducing some explicit semantics
Taxonomies SKOS taxonomies are concept- and resource-based knowledge models SKOS stands for Simple Knowledge Organization System and is part of the
Semantic Web Standard16
skosConcept
Celestron
skosprefLabel
skosConcept
skosrelated
Mike
skosprefLabel
MichaelskosaltLabel
skosConcept
Susan
skosprefLabel
skosrelated skosConceptScheme
skosinScheme
skosinScheme
Person
skosprefLabel
skosConcept
Tower of Babel
skosprefLabel
skosConcept
skosbroader
Telescope
skosprefLabelskosrelated
Ontologies
Some more explicit semantics
Ontologies Ontologies classify things and define more specific relations and attributes Locally and globally recognised ontologies can be combined Ontologies can have various levels of expressivity (RDFS OWL)17
schemaProduct
Telescope
schemaname
foafPerson
schemaowns
Mike
foafnick
MichaelfoafgivenName
foafPerson
Susan
foafgivenName
myOntobservesgeo
SpatialThing
Tower of Babel
skosprefLabel
schemaBrand
schemabrand
Celestron
schemanamemyOntvisits
gt Read more
Reasoning
18 If someone buys a Celestron (s)he can use it as a telescope
buys
uses
is ais subproperty of
Reasoning over taxonomies
19
Celestron
Telescope
Optical device
NEXSTAR SLT
Take your explorations to new heights with Celestrons NexStarSLT
Available with a variety of optical tubes up to 127 mm in aperture the NexStar SLT has something for everyone Beginners will appreciate the intuive SkyAlign technology which makes aligning your devices computer to the night sky as easy as centering three bright objects in the eyepiece The NexStar SLT is a precision instrument that can grow with you in the hobby of amateur astronomy for years to come
Irsquom looking for documents about Optical Devices
skosbroader
skosbroader is a owlTransitiveProperty
Use Case
Faceted Search based on Taxonomies
20
Resolving Language Problems
21
ldquoWhile most people can deal with linguistic features as synonyms homographs polyhierarchies and even with far more peculiar characteristics of natural languages machines often struggle with automatic sense-making because of the lack of a semantic knowledge model that can be used programmaticallyrdquo
gt Read more
lsquoThingsrsquo but not Strings Using a lsquoSemantic Knowledge Graphrsquo
httpwwwmycomtaxonomy62346723
prefLabel
Retina
image
httpwwwmycomimages90546089
httpwwwmycomtaxonomy97345854
prefLabel
Funduscope
altLabelOphthalmoscope
httpwwwmycomcomtaxonomy4543567
prefLabel
Diagnostic Equipment
has broader
The power of knowledge graphs Agility extensibility precision
doc doc doc
Retinoscope Endoscope Flowmeter Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
EquipmentTraditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
Equipment
Diagnostic Equipment
Traditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
The power of knowledge graphsAgility extensibility precision
doc doc doc
FunduscopeDiagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Ophthalmoscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
Metadata per document1 No or little network effects2 No reuse of metadata3 Metadata resides in silos4 Data quality hard to measure5 Not machine-readable
Knowledge about metadata1 Explicit knowledge models2 Reusable and measurable3 Metadata is machine-processable4 Standards-based metadata5 Linkable metadata opens silos
How to build a Knowledge Graph
Anatomy of an Enterprise Knowledge Graph
30
Things and URIs
Venice
St Markrsquos Square
Peggy Guggenheim
Museum
httpmycom1
httpmycom2
httpmycom3
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Google Knowledge Graph
Knowledge Graphs (KG) can cover general knowledge (often also called cross-domain or encyclopedic knowledge) or provide knowledge about special domains such as biomedicine
In most cases KGs are based on Semantic Web standards and have been generated by a mixture of automatic extraction from text or structured data and manual curation work
Examples
DBpedia Google Knowledge Graph YAGO OpenCyc Wikidata
11 Who is the inventor of the World Wide Web
DBpedia YAGO amp Co
Use weakly structured sources like Wikipedia as they were a structured data source
DBpedia is a frequently used Knowledge Graph covering general knowledge (often also called cross-domain or encyclopedic knowledge) also used as a central hub for entity linking to other graphs in the LOD cloud
Like YAGO it is harvested from Wikipedia and structured by its own ontology
Just recently new large-scale knowledge graphs like Diffbot or Unigraph were introduced
12 Show me all the countries using Euro on a map
Link to Online Demo
Semantic Search amp Assistants
Based on Knowledge Graphs amp Knowledge Extraction
13Perth
Australia
Perth is one of the most isolated major cities in the world with a population of 2022044 living in Greater Perth
Australia is a member of the OECD United Nations G20 ANZUS and the World Trade Organisation
Country
City
is a
is a
is located in
Support complex QampA
distance between
Which cities located in the Commonwealth of Nations have a population of more than 2 mio people
Commonwealth of Nations
International Organisation
is part of
is a
Avoid illogical answers
Implicit Semantics
Natural languages
Ambiguity versus Universality Context information and background knowledge needed
14Susan observes Mike on a tower with a telescope
Context is King
Natural languages
Ambiguity versus Universality Context information and background knowledge needed
15- Susan and Mike are persons- Yesterday Michael bought a Celestron- If one buys something (s)he owns it and
can use it- Mike and Michael is the same person- A Celestron is a telescope
Susan observes Mike on a tower with a telescope
Taxonomies
Introducing some explicit semantics
Taxonomies SKOS taxonomies are concept- and resource-based knowledge models SKOS stands for Simple Knowledge Organization System and is part of the
Semantic Web Standard16
skosConcept
Celestron
skosprefLabel
skosConcept
skosrelated
Mike
skosprefLabel
MichaelskosaltLabel
skosConcept
Susan
skosprefLabel
skosrelated skosConceptScheme
skosinScheme
skosinScheme
Person
skosprefLabel
skosConcept
Tower of Babel
skosprefLabel
skosConcept
skosbroader
Telescope
skosprefLabelskosrelated
Ontologies
Some more explicit semantics
Ontologies Ontologies classify things and define more specific relations and attributes Locally and globally recognised ontologies can be combined Ontologies can have various levels of expressivity (RDFS OWL)17
schemaProduct
Telescope
schemaname
foafPerson
schemaowns
Mike
foafnick
MichaelfoafgivenName
foafPerson
Susan
foafgivenName
myOntobservesgeo
SpatialThing
Tower of Babel
skosprefLabel
schemaBrand
schemabrand
Celestron
schemanamemyOntvisits
gt Read more
Reasoning
18 If someone buys a Celestron (s)he can use it as a telescope
buys
uses
is ais subproperty of
Reasoning over taxonomies
19
Celestron
Telescope
Optical device
NEXSTAR SLT
Take your explorations to new heights with Celestrons NexStarSLT
Available with a variety of optical tubes up to 127 mm in aperture the NexStar SLT has something for everyone Beginners will appreciate the intuive SkyAlign technology which makes aligning your devices computer to the night sky as easy as centering three bright objects in the eyepiece The NexStar SLT is a precision instrument that can grow with you in the hobby of amateur astronomy for years to come
Irsquom looking for documents about Optical Devices
skosbroader
skosbroader is a owlTransitiveProperty
Use Case
Faceted Search based on Taxonomies
20
Resolving Language Problems
21
ldquoWhile most people can deal with linguistic features as synonyms homographs polyhierarchies and even with far more peculiar characteristics of natural languages machines often struggle with automatic sense-making because of the lack of a semantic knowledge model that can be used programmaticallyrdquo
gt Read more
lsquoThingsrsquo but not Strings Using a lsquoSemantic Knowledge Graphrsquo
httpwwwmycomtaxonomy62346723
prefLabel
Retina
image
httpwwwmycomimages90546089
httpwwwmycomtaxonomy97345854
prefLabel
Funduscope
altLabelOphthalmoscope
httpwwwmycomcomtaxonomy4543567
prefLabel
Diagnostic Equipment
has broader
The power of knowledge graphs Agility extensibility precision
doc doc doc
Retinoscope Endoscope Flowmeter Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
EquipmentTraditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
Equipment
Diagnostic Equipment
Traditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
The power of knowledge graphsAgility extensibility precision
doc doc doc
FunduscopeDiagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Ophthalmoscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
Metadata per document1 No or little network effects2 No reuse of metadata3 Metadata resides in silos4 Data quality hard to measure5 Not machine-readable
Knowledge about metadata1 Explicit knowledge models2 Reusable and measurable3 Metadata is machine-processable4 Standards-based metadata5 Linkable metadata opens silos
How to build a Knowledge Graph
Anatomy of an Enterprise Knowledge Graph
30
Things and URIs
Venice
St Markrsquos Square
Peggy Guggenheim
Museum
httpmycom1
httpmycom2
httpmycom3
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
DBpedia YAGO amp Co
Use weakly structured sources like Wikipedia as they were a structured data source
DBpedia is a frequently used Knowledge Graph covering general knowledge (often also called cross-domain or encyclopedic knowledge) also used as a central hub for entity linking to other graphs in the LOD cloud
Like YAGO it is harvested from Wikipedia and structured by its own ontology
Just recently new large-scale knowledge graphs like Diffbot or Unigraph were introduced
12 Show me all the countries using Euro on a map
Link to Online Demo
Semantic Search amp Assistants
Based on Knowledge Graphs amp Knowledge Extraction
13Perth
Australia
Perth is one of the most isolated major cities in the world with a population of 2022044 living in Greater Perth
Australia is a member of the OECD United Nations G20 ANZUS and the World Trade Organisation
Country
City
is a
is a
is located in
Support complex QampA
distance between
Which cities located in the Commonwealth of Nations have a population of more than 2 mio people
Commonwealth of Nations
International Organisation
is part of
is a
Avoid illogical answers
Implicit Semantics
Natural languages
Ambiguity versus Universality Context information and background knowledge needed
14Susan observes Mike on a tower with a telescope
Context is King
Natural languages
Ambiguity versus Universality Context information and background knowledge needed
15- Susan and Mike are persons- Yesterday Michael bought a Celestron- If one buys something (s)he owns it and
can use it- Mike and Michael is the same person- A Celestron is a telescope
Susan observes Mike on a tower with a telescope
Taxonomies
Introducing some explicit semantics
Taxonomies SKOS taxonomies are concept- and resource-based knowledge models SKOS stands for Simple Knowledge Organization System and is part of the
Semantic Web Standard16
skosConcept
Celestron
skosprefLabel
skosConcept
skosrelated
Mike
skosprefLabel
MichaelskosaltLabel
skosConcept
Susan
skosprefLabel
skosrelated skosConceptScheme
skosinScheme
skosinScheme
Person
skosprefLabel
skosConcept
Tower of Babel
skosprefLabel
skosConcept
skosbroader
Telescope
skosprefLabelskosrelated
Ontologies
Some more explicit semantics
Ontologies Ontologies classify things and define more specific relations and attributes Locally and globally recognised ontologies can be combined Ontologies can have various levels of expressivity (RDFS OWL)17
schemaProduct
Telescope
schemaname
foafPerson
schemaowns
Mike
foafnick
MichaelfoafgivenName
foafPerson
Susan
foafgivenName
myOntobservesgeo
SpatialThing
Tower of Babel
skosprefLabel
schemaBrand
schemabrand
Celestron
schemanamemyOntvisits
gt Read more
Reasoning
18 If someone buys a Celestron (s)he can use it as a telescope
buys
uses
is ais subproperty of
Reasoning over taxonomies
19
Celestron
Telescope
Optical device
NEXSTAR SLT
Take your explorations to new heights with Celestrons NexStarSLT
Available with a variety of optical tubes up to 127 mm in aperture the NexStar SLT has something for everyone Beginners will appreciate the intuive SkyAlign technology which makes aligning your devices computer to the night sky as easy as centering three bright objects in the eyepiece The NexStar SLT is a precision instrument that can grow with you in the hobby of amateur astronomy for years to come
Irsquom looking for documents about Optical Devices
skosbroader
skosbroader is a owlTransitiveProperty
Use Case
Faceted Search based on Taxonomies
20
Resolving Language Problems
21
ldquoWhile most people can deal with linguistic features as synonyms homographs polyhierarchies and even with far more peculiar characteristics of natural languages machines often struggle with automatic sense-making because of the lack of a semantic knowledge model that can be used programmaticallyrdquo
gt Read more
lsquoThingsrsquo but not Strings Using a lsquoSemantic Knowledge Graphrsquo
httpwwwmycomtaxonomy62346723
prefLabel
Retina
image
httpwwwmycomimages90546089
httpwwwmycomtaxonomy97345854
prefLabel
Funduscope
altLabelOphthalmoscope
httpwwwmycomcomtaxonomy4543567
prefLabel
Diagnostic Equipment
has broader
The power of knowledge graphs Agility extensibility precision
doc doc doc
Retinoscope Endoscope Flowmeter Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
EquipmentTraditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
Equipment
Diagnostic Equipment
Traditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
The power of knowledge graphsAgility extensibility precision
doc doc doc
FunduscopeDiagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Ophthalmoscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
Metadata per document1 No or little network effects2 No reuse of metadata3 Metadata resides in silos4 Data quality hard to measure5 Not machine-readable
Knowledge about metadata1 Explicit knowledge models2 Reusable and measurable3 Metadata is machine-processable4 Standards-based metadata5 Linkable metadata opens silos
How to build a Knowledge Graph
Anatomy of an Enterprise Knowledge Graph
30
Things and URIs
Venice
St Markrsquos Square
Peggy Guggenheim
Museum
httpmycom1
httpmycom2
httpmycom3
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Semantic Search amp Assistants
Based on Knowledge Graphs amp Knowledge Extraction
13Perth
Australia
Perth is one of the most isolated major cities in the world with a population of 2022044 living in Greater Perth
Australia is a member of the OECD United Nations G20 ANZUS and the World Trade Organisation
Country
City
is a
is a
is located in
Support complex QampA
distance between
Which cities located in the Commonwealth of Nations have a population of more than 2 mio people
Commonwealth of Nations
International Organisation
is part of
is a
Avoid illogical answers
Implicit Semantics
Natural languages
Ambiguity versus Universality Context information and background knowledge needed
14Susan observes Mike on a tower with a telescope
Context is King
Natural languages
Ambiguity versus Universality Context information and background knowledge needed
15- Susan and Mike are persons- Yesterday Michael bought a Celestron- If one buys something (s)he owns it and
can use it- Mike and Michael is the same person- A Celestron is a telescope
Susan observes Mike on a tower with a telescope
Taxonomies
Introducing some explicit semantics
Taxonomies SKOS taxonomies are concept- and resource-based knowledge models SKOS stands for Simple Knowledge Organization System and is part of the
Semantic Web Standard16
skosConcept
Celestron
skosprefLabel
skosConcept
skosrelated
Mike
skosprefLabel
MichaelskosaltLabel
skosConcept
Susan
skosprefLabel
skosrelated skosConceptScheme
skosinScheme
skosinScheme
Person
skosprefLabel
skosConcept
Tower of Babel
skosprefLabel
skosConcept
skosbroader
Telescope
skosprefLabelskosrelated
Ontologies
Some more explicit semantics
Ontologies Ontologies classify things and define more specific relations and attributes Locally and globally recognised ontologies can be combined Ontologies can have various levels of expressivity (RDFS OWL)17
schemaProduct
Telescope
schemaname
foafPerson
schemaowns
Mike
foafnick
MichaelfoafgivenName
foafPerson
Susan
foafgivenName
myOntobservesgeo
SpatialThing
Tower of Babel
skosprefLabel
schemaBrand
schemabrand
Celestron
schemanamemyOntvisits
gt Read more
Reasoning
18 If someone buys a Celestron (s)he can use it as a telescope
buys
uses
is ais subproperty of
Reasoning over taxonomies
19
Celestron
Telescope
Optical device
NEXSTAR SLT
Take your explorations to new heights with Celestrons NexStarSLT
Available with a variety of optical tubes up to 127 mm in aperture the NexStar SLT has something for everyone Beginners will appreciate the intuive SkyAlign technology which makes aligning your devices computer to the night sky as easy as centering three bright objects in the eyepiece The NexStar SLT is a precision instrument that can grow with you in the hobby of amateur astronomy for years to come
Irsquom looking for documents about Optical Devices
skosbroader
skosbroader is a owlTransitiveProperty
Use Case
Faceted Search based on Taxonomies
20
Resolving Language Problems
21
ldquoWhile most people can deal with linguistic features as synonyms homographs polyhierarchies and even with far more peculiar characteristics of natural languages machines often struggle with automatic sense-making because of the lack of a semantic knowledge model that can be used programmaticallyrdquo
gt Read more
lsquoThingsrsquo but not Strings Using a lsquoSemantic Knowledge Graphrsquo
httpwwwmycomtaxonomy62346723
prefLabel
Retina
image
httpwwwmycomimages90546089
httpwwwmycomtaxonomy97345854
prefLabel
Funduscope
altLabelOphthalmoscope
httpwwwmycomcomtaxonomy4543567
prefLabel
Diagnostic Equipment
has broader
The power of knowledge graphs Agility extensibility precision
doc doc doc
Retinoscope Endoscope Flowmeter Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
EquipmentTraditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
Equipment
Diagnostic Equipment
Traditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
The power of knowledge graphsAgility extensibility precision
doc doc doc
FunduscopeDiagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Ophthalmoscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
Metadata per document1 No or little network effects2 No reuse of metadata3 Metadata resides in silos4 Data quality hard to measure5 Not machine-readable
Knowledge about metadata1 Explicit knowledge models2 Reusable and measurable3 Metadata is machine-processable4 Standards-based metadata5 Linkable metadata opens silos
How to build a Knowledge Graph
Anatomy of an Enterprise Knowledge Graph
30
Things and URIs
Venice
St Markrsquos Square
Peggy Guggenheim
Museum
httpmycom1
httpmycom2
httpmycom3
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Implicit Semantics
Natural languages
Ambiguity versus Universality Context information and background knowledge needed
14Susan observes Mike on a tower with a telescope
Context is King
Natural languages
Ambiguity versus Universality Context information and background knowledge needed
15- Susan and Mike are persons- Yesterday Michael bought a Celestron- If one buys something (s)he owns it and
can use it- Mike and Michael is the same person- A Celestron is a telescope
Susan observes Mike on a tower with a telescope
Taxonomies
Introducing some explicit semantics
Taxonomies SKOS taxonomies are concept- and resource-based knowledge models SKOS stands for Simple Knowledge Organization System and is part of the
Semantic Web Standard16
skosConcept
Celestron
skosprefLabel
skosConcept
skosrelated
Mike
skosprefLabel
MichaelskosaltLabel
skosConcept
Susan
skosprefLabel
skosrelated skosConceptScheme
skosinScheme
skosinScheme
Person
skosprefLabel
skosConcept
Tower of Babel
skosprefLabel
skosConcept
skosbroader
Telescope
skosprefLabelskosrelated
Ontologies
Some more explicit semantics
Ontologies Ontologies classify things and define more specific relations and attributes Locally and globally recognised ontologies can be combined Ontologies can have various levels of expressivity (RDFS OWL)17
schemaProduct
Telescope
schemaname
foafPerson
schemaowns
Mike
foafnick
MichaelfoafgivenName
foafPerson
Susan
foafgivenName
myOntobservesgeo
SpatialThing
Tower of Babel
skosprefLabel
schemaBrand
schemabrand
Celestron
schemanamemyOntvisits
gt Read more
Reasoning
18 If someone buys a Celestron (s)he can use it as a telescope
buys
uses
is ais subproperty of
Reasoning over taxonomies
19
Celestron
Telescope
Optical device
NEXSTAR SLT
Take your explorations to new heights with Celestrons NexStarSLT
Available with a variety of optical tubes up to 127 mm in aperture the NexStar SLT has something for everyone Beginners will appreciate the intuive SkyAlign technology which makes aligning your devices computer to the night sky as easy as centering three bright objects in the eyepiece The NexStar SLT is a precision instrument that can grow with you in the hobby of amateur astronomy for years to come
Irsquom looking for documents about Optical Devices
skosbroader
skosbroader is a owlTransitiveProperty
Use Case
Faceted Search based on Taxonomies
20
Resolving Language Problems
21
ldquoWhile most people can deal with linguistic features as synonyms homographs polyhierarchies and even with far more peculiar characteristics of natural languages machines often struggle with automatic sense-making because of the lack of a semantic knowledge model that can be used programmaticallyrdquo
gt Read more
lsquoThingsrsquo but not Strings Using a lsquoSemantic Knowledge Graphrsquo
httpwwwmycomtaxonomy62346723
prefLabel
Retina
image
httpwwwmycomimages90546089
httpwwwmycomtaxonomy97345854
prefLabel
Funduscope
altLabelOphthalmoscope
httpwwwmycomcomtaxonomy4543567
prefLabel
Diagnostic Equipment
has broader
The power of knowledge graphs Agility extensibility precision
doc doc doc
Retinoscope Endoscope Flowmeter Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
EquipmentTraditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
Equipment
Diagnostic Equipment
Traditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
The power of knowledge graphsAgility extensibility precision
doc doc doc
FunduscopeDiagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Ophthalmoscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
Metadata per document1 No or little network effects2 No reuse of metadata3 Metadata resides in silos4 Data quality hard to measure5 Not machine-readable
Knowledge about metadata1 Explicit knowledge models2 Reusable and measurable3 Metadata is machine-processable4 Standards-based metadata5 Linkable metadata opens silos
How to build a Knowledge Graph
Anatomy of an Enterprise Knowledge Graph
30
Things and URIs
Venice
St Markrsquos Square
Peggy Guggenheim
Museum
httpmycom1
httpmycom2
httpmycom3
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Context is King
Natural languages
Ambiguity versus Universality Context information and background knowledge needed
15- Susan and Mike are persons- Yesterday Michael bought a Celestron- If one buys something (s)he owns it and
can use it- Mike and Michael is the same person- A Celestron is a telescope
Susan observes Mike on a tower with a telescope
Taxonomies
Introducing some explicit semantics
Taxonomies SKOS taxonomies are concept- and resource-based knowledge models SKOS stands for Simple Knowledge Organization System and is part of the
Semantic Web Standard16
skosConcept
Celestron
skosprefLabel
skosConcept
skosrelated
Mike
skosprefLabel
MichaelskosaltLabel
skosConcept
Susan
skosprefLabel
skosrelated skosConceptScheme
skosinScheme
skosinScheme
Person
skosprefLabel
skosConcept
Tower of Babel
skosprefLabel
skosConcept
skosbroader
Telescope
skosprefLabelskosrelated
Ontologies
Some more explicit semantics
Ontologies Ontologies classify things and define more specific relations and attributes Locally and globally recognised ontologies can be combined Ontologies can have various levels of expressivity (RDFS OWL)17
schemaProduct
Telescope
schemaname
foafPerson
schemaowns
Mike
foafnick
MichaelfoafgivenName
foafPerson
Susan
foafgivenName
myOntobservesgeo
SpatialThing
Tower of Babel
skosprefLabel
schemaBrand
schemabrand
Celestron
schemanamemyOntvisits
gt Read more
Reasoning
18 If someone buys a Celestron (s)he can use it as a telescope
buys
uses
is ais subproperty of
Reasoning over taxonomies
19
Celestron
Telescope
Optical device
NEXSTAR SLT
Take your explorations to new heights with Celestrons NexStarSLT
Available with a variety of optical tubes up to 127 mm in aperture the NexStar SLT has something for everyone Beginners will appreciate the intuive SkyAlign technology which makes aligning your devices computer to the night sky as easy as centering three bright objects in the eyepiece The NexStar SLT is a precision instrument that can grow with you in the hobby of amateur astronomy for years to come
Irsquom looking for documents about Optical Devices
skosbroader
skosbroader is a owlTransitiveProperty
Use Case
Faceted Search based on Taxonomies
20
Resolving Language Problems
21
ldquoWhile most people can deal with linguistic features as synonyms homographs polyhierarchies and even with far more peculiar characteristics of natural languages machines often struggle with automatic sense-making because of the lack of a semantic knowledge model that can be used programmaticallyrdquo
gt Read more
lsquoThingsrsquo but not Strings Using a lsquoSemantic Knowledge Graphrsquo
httpwwwmycomtaxonomy62346723
prefLabel
Retina
image
httpwwwmycomimages90546089
httpwwwmycomtaxonomy97345854
prefLabel
Funduscope
altLabelOphthalmoscope
httpwwwmycomcomtaxonomy4543567
prefLabel
Diagnostic Equipment
has broader
The power of knowledge graphs Agility extensibility precision
doc doc doc
Retinoscope Endoscope Flowmeter Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
EquipmentTraditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
Equipment
Diagnostic Equipment
Traditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
The power of knowledge graphsAgility extensibility precision
doc doc doc
FunduscopeDiagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Ophthalmoscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
Metadata per document1 No or little network effects2 No reuse of metadata3 Metadata resides in silos4 Data quality hard to measure5 Not machine-readable
Knowledge about metadata1 Explicit knowledge models2 Reusable and measurable3 Metadata is machine-processable4 Standards-based metadata5 Linkable metadata opens silos
How to build a Knowledge Graph
Anatomy of an Enterprise Knowledge Graph
30
Things and URIs
Venice
St Markrsquos Square
Peggy Guggenheim
Museum
httpmycom1
httpmycom2
httpmycom3
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Taxonomies
Introducing some explicit semantics
Taxonomies SKOS taxonomies are concept- and resource-based knowledge models SKOS stands for Simple Knowledge Organization System and is part of the
Semantic Web Standard16
skosConcept
Celestron
skosprefLabel
skosConcept
skosrelated
Mike
skosprefLabel
MichaelskosaltLabel
skosConcept
Susan
skosprefLabel
skosrelated skosConceptScheme
skosinScheme
skosinScheme
Person
skosprefLabel
skosConcept
Tower of Babel
skosprefLabel
skosConcept
skosbroader
Telescope
skosprefLabelskosrelated
Ontologies
Some more explicit semantics
Ontologies Ontologies classify things and define more specific relations and attributes Locally and globally recognised ontologies can be combined Ontologies can have various levels of expressivity (RDFS OWL)17
schemaProduct
Telescope
schemaname
foafPerson
schemaowns
Mike
foafnick
MichaelfoafgivenName
foafPerson
Susan
foafgivenName
myOntobservesgeo
SpatialThing
Tower of Babel
skosprefLabel
schemaBrand
schemabrand
Celestron
schemanamemyOntvisits
gt Read more
Reasoning
18 If someone buys a Celestron (s)he can use it as a telescope
buys
uses
is ais subproperty of
Reasoning over taxonomies
19
Celestron
Telescope
Optical device
NEXSTAR SLT
Take your explorations to new heights with Celestrons NexStarSLT
Available with a variety of optical tubes up to 127 mm in aperture the NexStar SLT has something for everyone Beginners will appreciate the intuive SkyAlign technology which makes aligning your devices computer to the night sky as easy as centering three bright objects in the eyepiece The NexStar SLT is a precision instrument that can grow with you in the hobby of amateur astronomy for years to come
Irsquom looking for documents about Optical Devices
skosbroader
skosbroader is a owlTransitiveProperty
Use Case
Faceted Search based on Taxonomies
20
Resolving Language Problems
21
ldquoWhile most people can deal with linguistic features as synonyms homographs polyhierarchies and even with far more peculiar characteristics of natural languages machines often struggle with automatic sense-making because of the lack of a semantic knowledge model that can be used programmaticallyrdquo
gt Read more
lsquoThingsrsquo but not Strings Using a lsquoSemantic Knowledge Graphrsquo
httpwwwmycomtaxonomy62346723
prefLabel
Retina
image
httpwwwmycomimages90546089
httpwwwmycomtaxonomy97345854
prefLabel
Funduscope
altLabelOphthalmoscope
httpwwwmycomcomtaxonomy4543567
prefLabel
Diagnostic Equipment
has broader
The power of knowledge graphs Agility extensibility precision
doc doc doc
Retinoscope Endoscope Flowmeter Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
EquipmentTraditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
Equipment
Diagnostic Equipment
Traditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
The power of knowledge graphsAgility extensibility precision
doc doc doc
FunduscopeDiagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Ophthalmoscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
Metadata per document1 No or little network effects2 No reuse of metadata3 Metadata resides in silos4 Data quality hard to measure5 Not machine-readable
Knowledge about metadata1 Explicit knowledge models2 Reusable and measurable3 Metadata is machine-processable4 Standards-based metadata5 Linkable metadata opens silos
How to build a Knowledge Graph
Anatomy of an Enterprise Knowledge Graph
30
Things and URIs
Venice
St Markrsquos Square
Peggy Guggenheim
Museum
httpmycom1
httpmycom2
httpmycom3
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Ontologies
Some more explicit semantics
Ontologies Ontologies classify things and define more specific relations and attributes Locally and globally recognised ontologies can be combined Ontologies can have various levels of expressivity (RDFS OWL)17
schemaProduct
Telescope
schemaname
foafPerson
schemaowns
Mike
foafnick
MichaelfoafgivenName
foafPerson
Susan
foafgivenName
myOntobservesgeo
SpatialThing
Tower of Babel
skosprefLabel
schemaBrand
schemabrand
Celestron
schemanamemyOntvisits
gt Read more
Reasoning
18 If someone buys a Celestron (s)he can use it as a telescope
buys
uses
is ais subproperty of
Reasoning over taxonomies
19
Celestron
Telescope
Optical device
NEXSTAR SLT
Take your explorations to new heights with Celestrons NexStarSLT
Available with a variety of optical tubes up to 127 mm in aperture the NexStar SLT has something for everyone Beginners will appreciate the intuive SkyAlign technology which makes aligning your devices computer to the night sky as easy as centering three bright objects in the eyepiece The NexStar SLT is a precision instrument that can grow with you in the hobby of amateur astronomy for years to come
Irsquom looking for documents about Optical Devices
skosbroader
skosbroader is a owlTransitiveProperty
Use Case
Faceted Search based on Taxonomies
20
Resolving Language Problems
21
ldquoWhile most people can deal with linguistic features as synonyms homographs polyhierarchies and even with far more peculiar characteristics of natural languages machines often struggle with automatic sense-making because of the lack of a semantic knowledge model that can be used programmaticallyrdquo
gt Read more
lsquoThingsrsquo but not Strings Using a lsquoSemantic Knowledge Graphrsquo
httpwwwmycomtaxonomy62346723
prefLabel
Retina
image
httpwwwmycomimages90546089
httpwwwmycomtaxonomy97345854
prefLabel
Funduscope
altLabelOphthalmoscope
httpwwwmycomcomtaxonomy4543567
prefLabel
Diagnostic Equipment
has broader
The power of knowledge graphs Agility extensibility precision
doc doc doc
Retinoscope Endoscope Flowmeter Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
EquipmentTraditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
Equipment
Diagnostic Equipment
Traditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
The power of knowledge graphsAgility extensibility precision
doc doc doc
FunduscopeDiagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Ophthalmoscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
Metadata per document1 No or little network effects2 No reuse of metadata3 Metadata resides in silos4 Data quality hard to measure5 Not machine-readable
Knowledge about metadata1 Explicit knowledge models2 Reusable and measurable3 Metadata is machine-processable4 Standards-based metadata5 Linkable metadata opens silos
How to build a Knowledge Graph
Anatomy of an Enterprise Knowledge Graph
30
Things and URIs
Venice
St Markrsquos Square
Peggy Guggenheim
Museum
httpmycom1
httpmycom2
httpmycom3
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Reasoning
18 If someone buys a Celestron (s)he can use it as a telescope
buys
uses
is ais subproperty of
Reasoning over taxonomies
19
Celestron
Telescope
Optical device
NEXSTAR SLT
Take your explorations to new heights with Celestrons NexStarSLT
Available with a variety of optical tubes up to 127 mm in aperture the NexStar SLT has something for everyone Beginners will appreciate the intuive SkyAlign technology which makes aligning your devices computer to the night sky as easy as centering three bright objects in the eyepiece The NexStar SLT is a precision instrument that can grow with you in the hobby of amateur astronomy for years to come
Irsquom looking for documents about Optical Devices
skosbroader
skosbroader is a owlTransitiveProperty
Use Case
Faceted Search based on Taxonomies
20
Resolving Language Problems
21
ldquoWhile most people can deal with linguistic features as synonyms homographs polyhierarchies and even with far more peculiar characteristics of natural languages machines often struggle with automatic sense-making because of the lack of a semantic knowledge model that can be used programmaticallyrdquo
gt Read more
lsquoThingsrsquo but not Strings Using a lsquoSemantic Knowledge Graphrsquo
httpwwwmycomtaxonomy62346723
prefLabel
Retina
image
httpwwwmycomimages90546089
httpwwwmycomtaxonomy97345854
prefLabel
Funduscope
altLabelOphthalmoscope
httpwwwmycomcomtaxonomy4543567
prefLabel
Diagnostic Equipment
has broader
The power of knowledge graphs Agility extensibility precision
doc doc doc
Retinoscope Endoscope Flowmeter Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
EquipmentTraditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
Equipment
Diagnostic Equipment
Traditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
The power of knowledge graphsAgility extensibility precision
doc doc doc
FunduscopeDiagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Ophthalmoscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
Metadata per document1 No or little network effects2 No reuse of metadata3 Metadata resides in silos4 Data quality hard to measure5 Not machine-readable
Knowledge about metadata1 Explicit knowledge models2 Reusable and measurable3 Metadata is machine-processable4 Standards-based metadata5 Linkable metadata opens silos
How to build a Knowledge Graph
Anatomy of an Enterprise Knowledge Graph
30
Things and URIs
Venice
St Markrsquos Square
Peggy Guggenheim
Museum
httpmycom1
httpmycom2
httpmycom3
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Reasoning over taxonomies
19
Celestron
Telescope
Optical device
NEXSTAR SLT
Take your explorations to new heights with Celestrons NexStarSLT
Available with a variety of optical tubes up to 127 mm in aperture the NexStar SLT has something for everyone Beginners will appreciate the intuive SkyAlign technology which makes aligning your devices computer to the night sky as easy as centering three bright objects in the eyepiece The NexStar SLT is a precision instrument that can grow with you in the hobby of amateur astronomy for years to come
Irsquom looking for documents about Optical Devices
skosbroader
skosbroader is a owlTransitiveProperty
Use Case
Faceted Search based on Taxonomies
20
Resolving Language Problems
21
ldquoWhile most people can deal with linguistic features as synonyms homographs polyhierarchies and even with far more peculiar characteristics of natural languages machines often struggle with automatic sense-making because of the lack of a semantic knowledge model that can be used programmaticallyrdquo
gt Read more
lsquoThingsrsquo but not Strings Using a lsquoSemantic Knowledge Graphrsquo
httpwwwmycomtaxonomy62346723
prefLabel
Retina
image
httpwwwmycomimages90546089
httpwwwmycomtaxonomy97345854
prefLabel
Funduscope
altLabelOphthalmoscope
httpwwwmycomcomtaxonomy4543567
prefLabel
Diagnostic Equipment
has broader
The power of knowledge graphs Agility extensibility precision
doc doc doc
Retinoscope Endoscope Flowmeter Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
EquipmentTraditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
Equipment
Diagnostic Equipment
Traditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
The power of knowledge graphsAgility extensibility precision
doc doc doc
FunduscopeDiagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Ophthalmoscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
Metadata per document1 No or little network effects2 No reuse of metadata3 Metadata resides in silos4 Data quality hard to measure5 Not machine-readable
Knowledge about metadata1 Explicit knowledge models2 Reusable and measurable3 Metadata is machine-processable4 Standards-based metadata5 Linkable metadata opens silos
How to build a Knowledge Graph
Anatomy of an Enterprise Knowledge Graph
30
Things and URIs
Venice
St Markrsquos Square
Peggy Guggenheim
Museum
httpmycom1
httpmycom2
httpmycom3
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Use Case
Faceted Search based on Taxonomies
20
Resolving Language Problems
21
ldquoWhile most people can deal with linguistic features as synonyms homographs polyhierarchies and even with far more peculiar characteristics of natural languages machines often struggle with automatic sense-making because of the lack of a semantic knowledge model that can be used programmaticallyrdquo
gt Read more
lsquoThingsrsquo but not Strings Using a lsquoSemantic Knowledge Graphrsquo
httpwwwmycomtaxonomy62346723
prefLabel
Retina
image
httpwwwmycomimages90546089
httpwwwmycomtaxonomy97345854
prefLabel
Funduscope
altLabelOphthalmoscope
httpwwwmycomcomtaxonomy4543567
prefLabel
Diagnostic Equipment
has broader
The power of knowledge graphs Agility extensibility precision
doc doc doc
Retinoscope Endoscope Flowmeter Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
EquipmentTraditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
Equipment
Diagnostic Equipment
Traditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
The power of knowledge graphsAgility extensibility precision
doc doc doc
FunduscopeDiagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Ophthalmoscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
Metadata per document1 No or little network effects2 No reuse of metadata3 Metadata resides in silos4 Data quality hard to measure5 Not machine-readable
Knowledge about metadata1 Explicit knowledge models2 Reusable and measurable3 Metadata is machine-processable4 Standards-based metadata5 Linkable metadata opens silos
How to build a Knowledge Graph
Anatomy of an Enterprise Knowledge Graph
30
Things and URIs
Venice
St Markrsquos Square
Peggy Guggenheim
Museum
httpmycom1
httpmycom2
httpmycom3
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Resolving Language Problems
21
ldquoWhile most people can deal with linguistic features as synonyms homographs polyhierarchies and even with far more peculiar characteristics of natural languages machines often struggle with automatic sense-making because of the lack of a semantic knowledge model that can be used programmaticallyrdquo
gt Read more
lsquoThingsrsquo but not Strings Using a lsquoSemantic Knowledge Graphrsquo
httpwwwmycomtaxonomy62346723
prefLabel
Retina
image
httpwwwmycomimages90546089
httpwwwmycomtaxonomy97345854
prefLabel
Funduscope
altLabelOphthalmoscope
httpwwwmycomcomtaxonomy4543567
prefLabel
Diagnostic Equipment
has broader
The power of knowledge graphs Agility extensibility precision
doc doc doc
Retinoscope Endoscope Flowmeter Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
EquipmentTraditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
Equipment
Diagnostic Equipment
Traditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
The power of knowledge graphsAgility extensibility precision
doc doc doc
FunduscopeDiagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Ophthalmoscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
Metadata per document1 No or little network effects2 No reuse of metadata3 Metadata resides in silos4 Data quality hard to measure5 Not machine-readable
Knowledge about metadata1 Explicit knowledge models2 Reusable and measurable3 Metadata is machine-processable4 Standards-based metadata5 Linkable metadata opens silos
How to build a Knowledge Graph
Anatomy of an Enterprise Knowledge Graph
30
Things and URIs
Venice
St Markrsquos Square
Peggy Guggenheim
Museum
httpmycom1
httpmycom2
httpmycom3
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
lsquoThingsrsquo but not Strings Using a lsquoSemantic Knowledge Graphrsquo
httpwwwmycomtaxonomy62346723
prefLabel
Retina
image
httpwwwmycomimages90546089
httpwwwmycomtaxonomy97345854
prefLabel
Funduscope
altLabelOphthalmoscope
httpwwwmycomcomtaxonomy4543567
prefLabel
Diagnostic Equipment
has broader
The power of knowledge graphs Agility extensibility precision
doc doc doc
Retinoscope Endoscope Flowmeter Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
EquipmentTraditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
Equipment
Diagnostic Equipment
Traditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
The power of knowledge graphsAgility extensibility precision
doc doc doc
FunduscopeDiagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Ophthalmoscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
Metadata per document1 No or little network effects2 No reuse of metadata3 Metadata resides in silos4 Data quality hard to measure5 Not machine-readable
Knowledge about metadata1 Explicit knowledge models2 Reusable and measurable3 Metadata is machine-processable4 Standards-based metadata5 Linkable metadata opens silos
How to build a Knowledge Graph
Anatomy of an Enterprise Knowledge Graph
30
Things and URIs
Venice
St Markrsquos Square
Peggy Guggenheim
Museum
httpmycom1
httpmycom2
httpmycom3
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
The power of knowledge graphs Agility extensibility precision
doc doc doc
Retinoscope Endoscope Flowmeter Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
EquipmentTraditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
Equipment
Diagnostic Equipment
Traditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
The power of knowledge graphsAgility extensibility precision
doc doc doc
FunduscopeDiagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Ophthalmoscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
Metadata per document1 No or little network effects2 No reuse of metadata3 Metadata resides in silos4 Data quality hard to measure5 Not machine-readable
Knowledge about metadata1 Explicit knowledge models2 Reusable and measurable3 Metadata is machine-processable4 Standards-based metadata5 Linkable metadata opens silos
How to build a Knowledge Graph
Anatomy of an Enterprise Knowledge Graph
30
Things and URIs
Venice
St Markrsquos Square
Peggy Guggenheim
Museum
httpmycom1
httpmycom2
httpmycom3
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Show me all documents about Diagnostic
Equipment
Diagnostic Equipment
Traditional approach Graph-based approach
doc doc doc
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
The power of knowledge graphsAgility extensibility precision
doc doc doc
FunduscopeDiagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Ophthalmoscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
Metadata per document1 No or little network effects2 No reuse of metadata3 Metadata resides in silos4 Data quality hard to measure5 Not machine-readable
Knowledge about metadata1 Explicit knowledge models2 Reusable and measurable3 Metadata is machine-processable4 Standards-based metadata5 Linkable metadata opens silos
How to build a Knowledge Graph
Anatomy of an Enterprise Knowledge Graph
30
Things and URIs
Venice
St Markrsquos Square
Peggy Guggenheim
Museum
httpmycom1
httpmycom2
httpmycom3
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
The power of knowledge graphsAgility extensibility precision
doc doc doc
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
The power of knowledge graphsAgility extensibility precision
doc doc doc
FunduscopeDiagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Ophthalmoscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
Metadata per document1 No or little network effects2 No reuse of metadata3 Metadata resides in silos4 Data quality hard to measure5 Not machine-readable
Knowledge about metadata1 Explicit knowledge models2 Reusable and measurable3 Metadata is machine-processable4 Standards-based metadata5 Linkable metadata opens silos
How to build a Knowledge Graph
Anatomy of an Enterprise Knowledge Graph
30
Things and URIs
Venice
St Markrsquos Square
Peggy Guggenheim
Museum
httpmycom1
httpmycom2
httpmycom3
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
The power of knowledge graphsAgility extensibility precision
doc doc doc
FunduscopeDiagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Ophthalmoscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
Metadata per document1 No or little network effects2 No reuse of metadata3 Metadata resides in silos4 Data quality hard to measure5 Not machine-readable
Knowledge about metadata1 Explicit knowledge models2 Reusable and measurable3 Metadata is machine-processable4 Standards-based metadata5 Linkable metadata opens silos
How to build a Knowledge Graph
Anatomy of an Enterprise Knowledge Graph
30
Things and URIs
Venice
St Markrsquos Square
Peggy Guggenheim
Museum
httpmycom1
httpmycom2
httpmycom3
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
The power of knowledge graphsAgility extensibility precision
doc doc doc
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Diagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Ophthalmoscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
Metadata per document1 No or little network effects2 No reuse of metadata3 Metadata resides in silos4 Data quality hard to measure5 Not machine-readable
Knowledge about metadata1 Explicit knowledge models2 Reusable and measurable3 Metadata is machine-processable4 Standards-based metadata5 Linkable metadata opens silos
How to build a Knowledge Graph
Anatomy of an Enterprise Knowledge Graph
30
Things and URIs
Venice
St Markrsquos Square
Peggy Guggenheim
Museum
httpmycom1
httpmycom2
httpmycom3
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
Metadata per document1 No or little network effects2 No reuse of metadata3 Metadata resides in silos4 Data quality hard to measure5 Not machine-readable
Knowledge about metadata1 Explicit knowledge models2 Reusable and measurable3 Metadata is machine-processable4 Standards-based metadata5 Linkable metadata opens silos
How to build a Knowledge Graph
Anatomy of an Enterprise Knowledge Graph
30
Things and URIs
Venice
St Markrsquos Square
Peggy Guggenheim
Museum
httpmycom1
httpmycom2
httpmycom3
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
The power of knowledge graphsAgility extensibility precision
doc doc doc
Optical Instruments
OphthalmoscopeFunduscope
Diagnostic EquipmentRetinoscope
Optical InstrumentsDiagnostic EquipmentEndoscope
Diagnostic EquipmentFlowmeter
Surgical Equipment
Pessary
doc
Retinoscope Endoscope Flowmeter Pessary
doc
Diagnostic Equipment
Traditional approach Graph-based approach
Show me all documents about
Funduscopes
doc doc doc
Show me all documents about Diagnostic
Equipment
Funduscope
Optical Instruments
Optical instruments
Metadata per document1 No or little network effects2 No reuse of metadata3 Metadata resides in silos4 Data quality hard to measure5 Not machine-readable
Knowledge about metadata1 Explicit knowledge models2 Reusable and measurable3 Metadata is machine-processable4 Standards-based metadata5 Linkable metadata opens silos
How to build a Knowledge Graph
Anatomy of an Enterprise Knowledge Graph
30
Things and URIs
Venice
St Markrsquos Square
Peggy Guggenheim
Museum
httpmycom1
httpmycom2
httpmycom3
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
How to build a Knowledge Graph
Anatomy of an Enterprise Knowledge Graph
30
Things and URIs
Venice
St Markrsquos Square
Peggy Guggenheim
Museum
httpmycom1
httpmycom2
httpmycom3
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Things and URIs
Venice
St Markrsquos Square
Peggy Guggenheim
Museum
httpmycom1
httpmycom2
httpmycom3
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Labels and basic relationsTaxonomies and Thesauri
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
Peggy Guggenheim
Museum
prefLabel
Piazza
altLabelTown Square
related
related
prefLabel
broader
gt Read more
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Classes specific relations restrictionsOntologies and Custom Schemas
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
broader
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Metadata and Graph annotations
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Entity linking and schema mappingsLinks to other graphs
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
broader
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Linking to data and documentsstored in other systems
prefLabel
VeniceprefLabel
St Markrsquos Square
altLabel
Piazza San Marco
httpschemaorgCity
httpschemaorgTouristAttraction
httpschemaorgArtGallery
Monday through Sunday all day
openingHours
image
httpschemaorgcontainedInPlace
prefLabel
Piazza
altLabelTown Square
broader
Peggy Guggenheim
Museum
prefLabel
containedInPlace
containedInPlace
CC BY-SA 30
The Peggy Guggenheim Collection is a modern art museum on the Grand Canal in the Dorsoduro sestiere of Venice Italy
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Linked Data Life Cycle
How to build Enterprise Knowledge Graphs
37
gt Read more
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Use Case Integrated Views on Business Data
gt Try it out
38
Learn more about it Structured and Unstructured Data Linked
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Knowledge Graphs as input for Machine Learning
39Unstructured Data
Structured Data
Knowledge Graphs
Machine Learning
Semantic Layer
Cognitive Applications
gt Read more
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Core Principle
The Semantic Layer completes the Four-layered Data amp Content Architecture
40
gt Read more
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
PoolParty Hands-on Session
Try it out
41
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Fact sheet PoolParty
PoolParty Semantic Suite Most complete Semantic
Middleware on the Global Market Semantic AI Fusion of Knowledge
Graphs NLP and Machine Learning Linked Data Management along the
whole Data Life Cycle W3C standards compliant
First release in 2009 Current version 70 Over 200 installations world-wide
On-premises or cloud-based KMWorld listed PoolParty as
Trend-Setting Product 2015 2016 and 2017
wwwpoolpartybiz
42PoolParty supports the management of semantic knowledge graphs and linked data governance along the entire data lifecycle
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Solutions based on PoolParty
43 Process Automation
Enhanced Machine Learning Text Mining amp NLP Document Classification
Enhanced Customer Experience
Recommender Systems SEO Smart Helpdesk Solutions Chatbots and QampA engines
Knowledge Management
Semantic Search Personalization Knowledge Discovery Portals
Information Management
Semantic Content Management Metadata Management Masterdata Management
Knowledge Engineering
Taxonomy Management Ontology Management Knowledge Graph Management Data Visualization
Agile Data Integration
Linked Data Integrating heterogeneous data Entity Linking
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Functions and Components
44
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Selected Customer Referencesand Partners
SWC head-quarters45 Selected Customer References
Credit Suisse Boehringer Ingelheim Roche adidas The Pokeacutemon Company Fluor Harvard Business School Wolters Kluwer Philips Nestleacute Electronic Arts Springer Nature Pearson - Always Learning Healthdirect Australia World Bank Group Canadian Broadcasting Corporation Oxford University Press International Atomic Energy Agency Siemens Singapore Academy of Law Inter-American Development Bank Council of the EU ATampT
Selected Partners
Enterprise Knowledge Mekon Intelligent Content Solutions Soitron Accenture EPAM Systems BAON Enterprises Findwise Tellura Semantics HPC Minerva Intelligence Make it a Triple
US East
US West
AUSNZL
UK
We work with Global Fortune Companies and with some of the largest GOs and NGOs from over 20 countries
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
How PoolPartyrsquos ontology and custom schema management plays together with taxonomies
46 Taxonomy
Ontology
Ontology 1from library
Ontology 2(imported)
Ontology 3(custom-made)
Custom Schema
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Corpus analysis results in a network of concepts and terms
47 I need support to continuously extend our taxonomy controlled vocabulary
skosConcept
ReferenceCorpus
- Websites- PDF Word hellip- Abstracts from
DBpedia- RSS Feeds
skosConcept
skosConcept
Term 1
Term 3
Term 7
Term 8
Term 6
Term 4
Term 2
Term 5
- Relevant terms and phrases- Relevancy of concepts- co-occurence between concepts and terms- co-occurence between terms and terms
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Autotagging amp Consistent Tagging based on controlled vocabularies
48
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
PoolParty Semantic Integrator - at a glance
Watch Tutorial
49Deep Data Analytics
SemanticSearch
SemanticIntegrator
Unstructured Data
Structured Data
ETL Monitoring Scheduling
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
BASIC FUNCTIONALITIES
PoolPartyrsquos core competencies at a glance
50
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Place your screenshot here
51Maintaining VocabulariesTaxonomies and controlled vocabularies are maintained by using the SKOS standard of W3C
The intuitive user interface provides comfortable control elements like drag amp drop or autocomplete
A tree view on the taxonomy plays a central part in navigation and orientation
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Place your screenshot here
52SKOS EditorThe SKOS View on a concept allows the management of labels (eg synonyms) hierarchies and non-hierarchical relations and mappings to other vocabularies
Also more complex actions like merging of concepts moving of subtrees or the creation of poly-hierarchies are supported
PoolParty fully covers the SKOS standard of W3C incl SKOS-XL and SKOS Collections
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Place your screenshot here
53History amp Audit TrailsEvery change being made on a concept of a thesaurus is stored and can be tracked
A full history containing the author timestamp and action being taken can be displayed for each concept and for the whole project
Recovery and rollback can be managed by PoolPartyrsquos snapshot mechanism
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Place your screenshot here
54Linking amp MappingThe same concept can occur in several taxonomies and can be put in different contexts
PoolParty provides a comfortable dialogue for the semi-automatic linking between concepts from several thesauri
Additionally concepts can also be mapped to linked data sources like DBpedia or Geonames or even to non-RDF sources provided by you
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Place your screenshot here
55User Management amp RolesUser Management is based on user accounts roles and groups
User authentication can be integrated with LDAP
PoolPartyrsquos security layer is based on Spring Security
PoolPartyrsquos API is fully integrated with the security layer
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Place your screenshot here
56WorkflowsApproval (or rejection) of changes on a thesaurus can be governed by workflows
Several roles in the PoolParty system have different rights to apply changes reject or approve those
A clearly structured dashboard helps taxonomists not to loose track of all the tasks that need to be performed
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
57Taxonomy Linking
SKOS based Taxonomy Management Workflows
Import Excel
SELECTED VIDEOS
gt PoolParty on YouTube
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
ADVANCED FUNCTIONALITIES
Efficient taxonomy management and text mining based on PoolParty
58
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Place your screenshot here
59Entity ExtractionPoolPartyrsquos API provides a rich set of methods for text mining and entity extraction
This ultra-fast service makes use of your controlled vocabularies therefore it is highly accurate for your specific domain
The service will improve over time and learns from reference text corpora It supports over 40 languages and comes with a powerful disambiguation algorithm
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Place your screenshot here
60Semantic ClassifierText Classification based on Machine Learning and Semantic Knowledge Models
PoolParty Semantic Classifier combines machine learning algorithms (SVM Deep Learning Naive Bayes etc) with Semantic Knowledge Graphs
The combined approach improves the classification results by up to 3 as compared to traditional term-based approaches
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Place your screenshot here
61Corpus AnalysisPoolParty can automatically analyze reference text corpora
The calculation of a statistical model of a lsquotypical vocabularyrsquo of a specific domain helps to suggest candidate concepts for the expansion of a taxonomy
By this means the quality of term extraction improves over time and potential relations between concepts and terms can be suggested by the system
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Place your screenshot here
62Custom Schemes amp OntologiesSKOS is based on a simple schema This can be expanded by additional custom schemes
Custom schemes can be created with help of PoolPartyrsquos ontology amp schema editor
For an increased interoperability PoolParty provides a rich set of preconfigured ontologies like schemaorg or FOAF
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Place your screenshot here
63Quality Management amp Import ValidationData quality and especially the quality of metadata is key to a more efficient information management
PoolParty Server provides several built-in quality checks (eg to avoid circularities)
Checks can be executed when imports are made at run-time or at any time to generate a quality report
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Place your screenshot here
64Linked DataThe use of Linked Data standards increases interoperability of your knowledge graphs amp metadata
With PoolParty each thesaurus and ontology can be provided as a Linked Data graph
In return every linked data source can potentially be used to enrich a thesaurus
PoolParty supports scenarios like lsquoEnterprise Linked Datarsquo as well as lsquoLinked Open Datarsquo
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Place your screenshot here
65Linked Data OrchestrationWith UnifiedViews data processing tasks can be modelled as pipelines Make use of the intuitively usable graphical interface
Versatile data integration platform Link data from internal and external data sources in a central NoSQL linked data warehouse
Custom plugins Your pipelines are highly customizable by creating your own data processing units (DPUs)
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Place your screenshot here
66GraphSearchSemantic search at the highest level PoolParty Graph Search Server combines the power of graph databases and SPARQL engines with features of lsquotraditionalrsquo search engines
Document search and visual analytics Benefit from additional insights through interactive visualizations of reports and search results derived from your data lake by executing sophisticated SPARQL queries
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
67Corpus Analysis
Custom Schemes amp Ontologies Entity Extraction
UnifiedViews
SELECTED VIDEOS
gt PoolParty on YouTube
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
INTEGRATION WITH A CMS
Benefiting from aSemantic Layer
68
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
INTEGRATING POOLPARTY ALONGSIDE THE CONTENT LIFE CYCLE
69
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
SharePoint and PoolParty at a Glance
gt Learn more
70
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Autotagging amp Consistent Tagging based on controlled vocabularies
71
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Semantic Search for SharePoint and Office 365
72
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
INTEGRATION WITH MARKLOGIC
Benefiting from aFull Semantics Stack
73
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
TWO INTEGRATIONSCENARIOS
74DAMCMS
Option 1Concepts are derived from taxonomy and tagging is stored together with the asset in the DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
Option 2Concepts are derived from taxonomy and tagging event is stored in a Linked Data Store by tying together assets with concepts from graph
DAMCMS
httpapplecommacminijpg
httpapplecomgraph1234PoolParty
API
httpapplecommacminijpg
httpapplecommacminijpg
httpapplecomgraph1234
LD Store
Wed 3 May 2017User4711
DAMCMS API
PoolParty
PoolParty
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
MarkLogic and PoolParty at a Glance
75
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
YOUR BENEFIT
76Semantic as a Service
Standards-based technology
Precise document classification
Semantic Middleware for Enrichment and Linking
+ =
FULL SEMANTICS STACK
Fast Time to Results
Ask Anything Universal Index
Trusted Data and Transactions
Enterprise-Grade Security
Scale-Out Commodity Hardware
Lightning Fast and Real-Time
Operational and Transactional Enterprise NoSQL Database Data Integration
Intelligent Search
Deep Analytics
Data Enrichment
Data Governance
Graph-based metadata management
Superior user friendliness
Beyond search
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
MarkLogic PoolParty Demo Application
gt Try it out
77
Learn more about MarkLogic and PoolParty as a bundle
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Some Use Cases that make use of PoolParty
78
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
Semantic Web Starter Kit
79
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
CONNECT
Andreas BlumauerCEO Semantic Web Company
andreasblumauersemantic-webcom httpswwwlinkedincominandreasblumauer httpstwittercomsemwebcompany httpsablviennawordpresscom
80
copy Semantic Web Company - httpwwwsemantic-webcom and httpwwwpoolpartybiz
