1. A New Technology for Unifying Knowledge and Semantics to Harness the Fusion of People- Process-Technology Dr. Geoffrey P Malafsky TECHi2

2. Capitol Science Forum 29 March 2008 The Problem Space Information overload Effective time compression Confidence in decision making and actions Cost increases Budget decreases Ramifications of error

3. Capitol Science Forum 29 March 2008 Holy Grail (or Faustian Bargain ?): Intelligent Automation From James Hendler, Agents and the Semantic Web, IEEE Intel Sys, Mar/Apr 2001

4. Capitol Science Forum 29 March 2008 Technology Status Aspects of Knowledge Discovery State-of-Art Beyond State-of-Art Far Beyond State-of-Art Status Knowledge Representation Data Volume Human-Computer Interaction Naïve Discovery Advanced Discovery Guided Discovery Complexity Complex Relational Information Relations across time and space for people, places & things Vast >10 6 attributes, links, nodes Iterative Incremental Active Learning Unspecified, evolving problem Simple Relational Information Relations among people, places & things Substantial 10 3 - 10 4 attributes, links, nodes Interactive User-specified problem, with suggested retargeting Some prior knowledge Propositional Information Simple attributes for people, places & things Minimal 100s of attributes, links, nodes Negligible User-specified problem No prior knowledge

5. Capitol Science Forum 29 March 2008 Melding People-Process-Technology into More than a Maxim Engineering a solution through analysis, trade-off, and integration Explicit definition of human meaning mapped to machine functions Continuous, iterative improvements The glue: A streamlined framework mapping from human knowledge to explicit concepts to rules to semantics

6. Capitol Science Forum 29 March 2008 The Enterprise Data Environment (EDE) Arises From Lessons Learned Industry recognition of failure of technology and business processes to both meet current and future information challenges and the need for a “technology” that can be used in real organizations Standards for metadata, object models, data storage, data transmission, coding Acceptance of need for unified designs coupling people (aka organizations) to technology (aka computer tools) to process (aka specified procedures)

7. Capitol Science Forum 29 March 2008 Command and Control Foundation Worked on technology development to meet DoD’s plan for Net-Centric operations for past 10 years JOINT VISION 2020 Net-Centric Warfare

8. Capitol Science Forum 29 March 2008 National Intelligence Foundation EDE part of technology for large volume, distributed, disparate, data assets for Geospatial Intelligence Data driven semantics for authoritative, meaningful analysis

9. Capitol Science Forum 29 March 2008 Phasic Systems Inc’s Semantic Technology: KORS

10. Capitol Science Forum 29 March 2008 Each sub- ontology is decomposed into greater detail used as classes in system* *Patent-pending

11. Capitol Science Forum 29 March 2008 Knowledge Discovery with KORS

12. Capitol Science Forum 29 March 2008

13. Data Models Flexible, attribute-based directly ties governance rules to execution in database with simple XML configuration

14. A Brief Demonstration