Semantic Integration for Government and Private Industry 29 November 2012

1. Semantic Integration for Government and Private Industry29 November 2012 Eric Little, PhD Director, Information Management elittle@orbistechnologies.com 321-480-4818

2. Overview of Core Technologies for Scalable Cloud-based Semantics Semantic Annotation Ontology Population Distributed Indexing Text Mining Information Extraction Natural Language Processing Entity Extraction Information ExtractionInformation Retrieval Identity Resolution Semantic Role Labeling Machine Learning Information Assurance / Cyber Security Enterprise Architecture Systems Engineering IP Portfolio Mgt Hadoop MapReduce Distributed Computing NoSQL Virtualization Dynamic Provisioning RDF, RDFS, RDFa Ontologies Linked Data Knowledge representation Artificial Intelligence Rules/Inference Semantic Search Scalable InferenceDistributed Triple Stores CLOUD SEMANTICS TECHNOLOGY SERVICES Orbis Technologies, Inc. Proprietary

3. Semantic-based Products & Services • Orbis developed cloud applications • Sematic Web-Based Cloud Text Analytics • Collection of analytics designed to process and semantically correlate documents in a Google data processing environment • Ontology Harmonization and Mediation • Analytics designed to rapidly integrated disparate data sources and mediate data models in a cloud environment • Data Center Analytics • Specialty analytics designed to show the value of the data being stored in a data center • Enterprise based productivity services • Business Process Management • Designed for heavily regulated environments where the workflow is regulated and managed • Persists the workflow in the IT environment • Business Intelligence • Productivity based applications deigned to transform the cloud data to support mission specific analysis Orbis Technologies, Inc. Proprietary

4. 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 • Sophisticated cost and performance driven program environment allows the client to best mange risk • “Best of Breed” company selection enabled by an open architecture Orbis Technologies, Inc. Proprietary 4

5. Extended Semantic Services Can Raise Awareness • Semantic Web Training • Designed by practitioners for multiple skillsets • Key concepts covered • Ontology development, reasoning, technology, etc. • Multiple Attendees • Open to client participation • Hosted by Orbis or held at client location • Enterprise Level Advisory Service • Architecture modernization • Assist clients migrating legacy systems to semantic and/or cloud architectures • Insider threat and security assessments • Mobile app migration Orbis Technologies, Inc. Proprietary

6. 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 • Cloud provides outstanding query response time, document correlation, data integration,.. • Standards implementation • Semantic web standards increase data interoperability • Open architecture • 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 Orbis Technologies, Inc. Proprietary

7. Use Case examples Orbis Technologies, Inc. Proprietary

8. 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 Orbis Technologies, Inc. Proprietary

9. 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 Technologies, Inc. Proprietary

10. 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 Orbis Technologies, Inc. Proprietary

11. Regulatory Compliance Information Gets Extracted from Various Data Sources and is Semantically Linked 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 Analysis Outcomes & Findings Can be Linked Regulatory Documents and Reports Orbis Technologies, Inc. Proprietary

12. 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. Orbis Technologies, Inc. Proprietary

13. 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 triples • Easy to reach billions of triples for a large relational database • Provenance and pedigree highlight issues with lack of data efficacy • 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 Orbis Technologies, Inc. Proprietary

14. 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 Orbis Technologies, Inc. Proprietary

15. Thank YouQuestions? Orbis Technologies, Inc. Proprietary