Semantic Integration for Government and Private Industry 29 November 2012

Semantic Integration for Government and Private Industry 29 November 2012

Eric Little, PhDDirector, Information [email protected]

Overview of Core Technologies for Scalable Cloud-based Semantics

RDF, RDFS, RDFaOntologiesLinked Data

Knowledge representationArtificial Intelligence

Rules/InferenceSemantic Search

HadoopMapReduce

Distributed ComputingNoSQL

VirtualizationDynamic Provisioning

Natural Language ProcessingEntity Extraction

Information ExtractionInformation Retrieval

Identity ResolutionSemantic Role Labeling

Machine Learning

Information Extraction

CLOUD SEMANTICS

Semantic AnnotationOntology Population

Scalable InferenceDistributed Triple Stores

DistributedIndexing

Text Mining

Information Assurance / Cyber

Security

Enterprise Architecture

Systems Engineering IP Portfolio

Mgt

TECHNOLOGY SERVICES

Orbis Technologies, Inc. Proprietary 2

• Orbis developed cloud applications Sematic Web-Based Cloud Text Analytics

o Collection of analytics designed to process and semantically correlate documents in a Google data processing environment

Ontology Harmonization and Mediation o Analytics designed to rapidly integrated disparate

data sources and mediate data models in a cloud environment

Data Center Analyticso Specialty analytics designed to show the value of

the data being stored in a data center

• Enterprise based productivity services Business Process Management

o Designed for heavily regulated environments where the workflow is regulated and managed

o Persists the workflow in the IT environment Business Intelligence

o Productivity based applications deigned to transform the cloud data to support mission specific analysis

Semantic-based Products & Services

3Orbis Technologies, Inc. Proprietary


Semantic Cloud

• Turnkey private cloud project infrastructure Configuration Management System Infrastructure Orbis hosted private HW environment Business Intelligence Application

development Third Party Access Project Tracking Business Process Management

• Fee for service model• Designed to migrate into client IT

Enterprise once project reaches maturity

4

Sophisticated cost and performance driven program environment allows the client to best mange risk• “Best of Breed” company selection enabled

by an open architecture

Extended Semantic Services Can Raise Awareness

• Semantic Web Training Designed by practitioners for multiple

skillsets Key concepts covered

o Ontology development, reasoning, technology, etc. Multiple Attendees

o Open to client participationo Hosted by Orbis or held at client location

• Enterprise Level Advisory Service Architecture modernization

o Assist clients migrating legacy systems to semantic and/or cloud architectures

Insider threat and security assessments Mobile app migration


Why Semantics and Cloud?

• Capabilities examples Fusion/Information correlation - Interconnected data from hundreds of

sources creates large graphs (TB - GB files) that need to be analyzed Information retrieval and search

o Cloud provides outstanding query response time, document correlation, data integration,..

• Standards implementation Semantic web standards increase data interoperability Open architecture

o Allows for third-party developers

• Most efficient and effective approach to incorporating domain knowledge derived from subject matter experts Key to long-term knowledge management and retention


USE CASE EXAMPLES


Government and Industries With Whom We Work

• US Military (Army, Air Force)• Intelligence Agencies• Defense Threat Reduction Agency (DTRA)• Petrochemicals• Pharmaceuticals• Medical Device• Financial Services• Telecommunications• Insurance• Airlines


Building Semantic Profiles From Raw Petroleum Data


• Key data elements are identified – creating lexicon of important terms

• Data elements are categorized into appropriate classes – ranges are captured for auto-classification

• Can be applied to crude stocks, equipment, refineries, products, processes, etc.

• Advanced logics allow for reasoning over data sets such that new patterns and information can be gained

Orbis Federated Semantic Approach for Business

Business Centric vs. Data Centric Definitions – Taken Separately

Orbis Federated Semantic Approach


• Distinct ontological terms (and corresponding contextual information) can be captured in a single federated ontology stack

Regulatory Compliance


Information Gets Extracted from Various Data Sources and is Semantically Linked

Analysis Outcomes & Findings Can be Linked Regulatory Documents and Reports

Advanced Enterprise Search (Concepts, Entities, Relationships) and a Document

Viewer Backed by Cloud Based NLP Processing

Extracted Entities Are Correlated in Each Document

and Across Documents

Challenges Working at the Enterprise

• Broaden overall data analysis effort – All data can be utilized• Cloud data dashboard (adopt business intelligence view of data)


Exploit existing databases and data analytics (Originality, Document Correlation, User Assertions, etc.) to create a dashboard that enables an assessment of the weapon system metrics, health, and trend analysis.

Challenges Working at the Enterprise-Cont.

• Semantic systems magnify existing data management problems RDF provides verbose data description, where a

single document could result in tens of thousands of RDF tripleso Easy to reach billions of triples for a large relational

database Provenance and pedigree highlight issues with

lack of data efficacyo Authoritative and supplementary data sources are

either treated equally or require additional logic to resolve-may impact confidence in the results

• Distributed processing and elastic infrastructure needed for enterprise scalability Rich analytics can use more expressive logic Analytics and data are processed together to

minimize network latencies


Summary

• Semantics requires expansion to other technologies to be applicable across enterprise applications

• Requires a host of interconnected discriminating products and services Semantic web-based applications Productivity driven services Hosted private program infrastructures Enabling training and advisory services

• Cloud and semantic web have a symbiotic relationship Need each other to scale and demonstrate value

• Success requires one to define enterprise domains and harvest value associated with enterprise data integration of different kinds for numerous applications


THANK YOU

QUESTIONS?

15Orbis Technologies, Inc. Proprietary