SBSGRID Storyline Dynamic_AssociativeLinkedData_v3

SBSGRID

INTELLIGENT APPLICATIONS WITH LINKED-DATA

Contextual Reasoning in a “SearchQuery”

SBS Semantic Business Solutions, Inc

PREVIEW

Humans operate…

PREVIEW

Humans operate / think contextually & associatively…

PREVIEW

This is about contextual questions

PREVIEW

Galleries in NYCrepresenting conceptual artists from Korea who already had shows in at

least 5 capitals ?

This is about contextual questionslike this one about art…

… | Art | Pharma | Finance | …

PREVIEW

What proteins are involved in signal

transduction and are related to pyramidal

neurons ?

This is about contextual questionslike this one from Pharma…

PREVIEW

Accounts from the London branch with a balance > 1 mill and

transactions directly or indirectly related to IBM ?

This is about contextual questionslike this one from Finance…

PREVIEW

…and how SBSGRID reasonsacross Linked-Data and finds precise answers

INTRODUCTION

Linked-Data is a world wide standard…

INTRODUCTION

Linked-Data is a world wide standard that allows for contextual & intelligent software

INTRODUCTION

Linked-Data is a world wide standard that allows for contextual & intelligent software across any data source

INTRODUCTION

SBSGRID’s CONTRIBUTION

SBSGRID’S CONTRIBUTION

SBSGRID takes Linked-Data…

SBSGRID takes Linked-Data and turns them into

Dynamic Associative Networks

This means:

the context + all associationswithin information becomes visible & accessible

This means:

integration of different information sources is dynamic & based on meaning

This means:

intelligent information-cloudsbecome an active part in the system

EXAMPLE

A database contains informationabout…

Performers

EXAMPLE

Performers Institutions&

EXAMPLE

and a lot more…

Performers Institutions&

EXAMPLE

Performers

InstitutionsEvents

Magazines

Auctions

Styles CitiesNationality

TimeTime

Cities

EXAMPLE

This information is not ”linked”….

EXAMPLE

This information is not ”linked”…. relationships are implicit and not accessible

EXAMPLE

Associative & contextual questions can not be asked…

EXAMPLE

The user has to know the specific keywords…

EXAMPLE

SBSGRID links information...

EXAMPLE

SBSGRID links information and creates a network….

EXAMPLE

Performers

InstitutionsEvents

Magazines

Auctions

Styles CitiesNationality

TimeTime

Cities

EXAMPLE

Now I can ask contextualquestions like…

EXAMPLE

Now I can ask contextualquestions like…

Where are Events on Pop Art below $8000

in NYC next Week ?

EXAMPLE

The questions can have any number of keywords…

in NYC next Week ?

EXAMPLE

The questions can have any number of keywords & conditions…

in NYC next Week ?

EXAMPLE

… the results will always be precise and contextual

in NYC next Week ?

EXAMPLE

HOW IT WORKS

Even| Go

HOW IT WORKS

During typing…

Even| Go

Suggestions:

Person Inst. Perf. Article

…suggestions will be made

PerformersInstitutions Events

Magazines

Auctions

StylesCitiesNationality

TimeTime

Cities

HOW IT WORKS

Events | Go

…results will be displayed

Events

Main Results:

Event Event Event

Related Results:

Event Event Event

HOW IT WORKS

Events NYC | Go

contextually joined…

InstitutionsEvents

NYCMain Results:

Event Event Event

Related Results:

HOW IT WORKS

Institutions

Events NYC Pop Art | Go

Events

Performers

Pop Art

Main Results:

Event Event Event

Related Results:

contextually joined…

HOW IT WORKS

Events NYC Pop Art Next Week | Go

contextually joined & filtered…

Institutions

Main Results:

Events

Performers

Pop Art

Next Week

Related Results:

HOW IT WORKS

Event Event Event

Events NYC Pop Art Next Week below 8k Go

contextually joined & filtered…

Institutions

Main Results:

Events

Performers

Event Event Event NYC

Pop Art

Related Results:

HOW IT WORKS

Next Week

…these joins are associative & contextual

HOW IT WORKS

…because institutions

Events next Week

Institutions

Institutions in New York City

HOW IT WORKS

…because institutions & performers

Events next Week

Performers

Performers on Pop Art

Institutions in New York City

Institutions

HOW IT WORKS

…only appear implicitly in the user query

HOW IT WORKS

in NYC next Week ?

Synonyms…

“New York City"

HOW IT WORKS

Synonyms, geo-information…

HOW IT WORKS

ManhattanBrooklynQueens…

NY StateUS East Coast…

“New York City"

Related categories…

HOW IT WORKS

xxx xxx

the meaning of terms …

HOW IT WORKS

Timeframe is matched against the start-/end-date of an exhibition

the price of artworks …

HOW IT WORKS

Price range is matched with

exhibited artwork

HOW IT WORKS

as well as attributes…

in about within

HOW IT WORKS

…are handled automatically

as well as attributes…

in about within

RESULTS

The user (or software agent) can ask intuitive, contextual & associative questions…

RESULTS

… he can start from any direction

RESULTS

Pop Art Events NYC … Go

RESULTS

Next Week Pop Art Events … Go

RESULTS

…and gets distinctive, unambiguous and associativeresults

RESULTS

…which are derived from the contextual network

Magazines

Auctions

StylesCitiesNationality

TimeTime

Cities

RESULTS

He is guided and can approximate the question…

RESULTS

Magazines

Auctions

StylesNationality

TimeTime

Cities

Exhibitions ?

CitiesTime

RESULTS

Magazines

Auctions

StylesNationality

TimeTime

Cities

Exhibitions in NYC ?

CitiesTime

RESULTS

Magazines

Auctions

StylesNationality

TimeTime

Cities

Exhibitions on Pop Art

in NYC ?

CitiesTime

RESULTS

Magazines

Auctions

StylesNationality

TimeTime

Cities

Exhibitions on Pop Art

in NYC Next Week ?

CitiesTime

RESULTS

Magazines

Auctions

StylesNationality

TimeTime

Cities

Austrian ?

CitiesTime

RESULTS

Magazines

Auctions

StylesNationality

TimeTime

Cities

Austrian Performers ?

CitiesTime

RESULTS

Magazines

Auctions

StylesNationality

TimeTime

Cities

Austrian Performers represented

in NYC ?

CitiesTime

RESULTS

Magazines

Auctions

StylesNationality

TimeTime

Cities

Previews ?

CitiesTime

RESULTS

Magazines

Auctions

StylesNationality

TimeTime

Cities

Previews onupcoming Auctions ?

CitiesTime

IT'S ALL SEMANTICS

Thank You

www.sbsgrid.net

APPENDIX

TECHNICAL INFORMATION

APPENDIX

• HPC Engine

• Based on Java, TCP/IP, XML & HTML5

• Designed for Pure In-Memory (Compressed Index / Data)

• Hybrid of GraphQuery/FullTextSearch/Cache Engine

• Reasoner is aware about structural graph characteristics

• Optimized structures for syntactic & semantic decomposition

• WEB API

• XML-REST API

• JavaScript Classes for Continuous Query

• Java & C# API

• SPARQL++ Functionality

• Non Transactional (Compensate Action)

APPENDIX

• Import API

• Triple Strings TCP/IP Interface

• Java / C# Client Interface

• Hot Updates (incremental index creation)

• Bulk Load

• Small Code

• No usage of libraries (no context switch; high security)

• 100% ownership (high end optimization)

• Specific Reasoner requests can be implemented

APPENDIX

• Queries

• N-dimensional Reasoner- covers all query cases wanted- covers combinations of concepts, terms, data & operators

• Any Number of Keywords (still precise results)

• Support for Ranks, Synonyms, Operators

• Context Aware Full-Text-Server

• User Escort (Semantic Suggest Lists, Context Maps)

APPENDIX

• Deployment

• JAR Deployment (with our without servlet container)

• No Middleware Development- Semantic Queries are created automatically- Data Deployment on fact level (config vs. coding)

• Data publishing and import through visual tool

• Data transport via TCP/IP

• Embedded Web-Server (optional)

• Admin GUI (runtime statistics)

• Security

• Access entitlement on field, object or namespace level

• No usage of external libraries (high security, 100% ownership)

SBSGRID Storyline Dynamic_AssociativeLinkedData_v3

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