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Custom Ontologies for Expanded Social Network Analysis Amy K. C. S. Vanderbilt, Ph.D. and J. Andrew Skene 4465 Brookfiel

Custom Ontologies for Expanded Social Network Analysis Amy K. C. S. Vanderbilt, Ph.D. and J. Andrew Skene 4465 Brookfield Corporate Drive, Suite 200A, Chantilly VA 20151, USA avanderbilt@wvtec.com , askene@wvtec.om. Mission.

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Custom Ontologies for Expanded Social Network Analysis Amy K. C. S. Vanderbilt, Ph.D. and J. Andrew Skene 4465 Brookfiel

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  1. Custom Ontologies for Expanded Social Network Analysis Amy K. C. S. Vanderbilt, Ph.D. and J. Andrew Skene 4465 Brookfield Corporate Drive, Suite 200A, Chantilly VA 20151, USA avanderbilt@wvtec.com, askene@wvtec.om

  2. Mission Rapidly implement emerging ISR capabilities and advanced CONOPs and TTPs to mitigate mission critical intelligence shortfalls. Manage the insertion, integration, operationalization, and sustainment of advanced ISR sensors and systems at the operational and tactical levels for support to intelligence requirements at all echelons. Intrusive ISR Strategic Intelligence Tactical

  3. The Urban Warfare Analysis Center (UWAC) Mission Statement • Provide a center of expertise for effects based operations in support of urban operations, doctrine, and training • Develop actionable products relevant to the urban battlespace in support of strategic operational, and tactical objectives • Leverage urban warfare products and analyses to support homeland defense requirements

  4. Concept of Operations • Real-time information analysis and modeling support provided to production centers, • support organizations, Unified Commands, and deployed forces • UWAC operations supported by • Massive data storage and access capabilities • Evolving modeling and simulation tools • High capacity network communications between key locations • Sensor testing and training facility • IC center of expertise for support to operations planning and training • Experienced intel analysts augmented with operational community • representatives to support development of intel-enabled operations

  5. Current Approaches • Take all available info and populate a pre-structured ontology which is grown over time – constantly adding new relations, nodes and entities. • The problem: • ontology is so large that it takes as long to query the ontology as it would the entire set of original documents and resources. • The info within the ontology is too diverse - only a small portion of it is pertinent • updating the ontology requires engineering modifications and additions • Without humans modifying the ever-growing ontology, it becomes obsolete • Engineers grow the ontology differently. This leads to mismatch between how the user would describe what he is looking for and how the ontology is housing that information. • The user becomes disgruntled with user-hostile environment

  6. Another Option: Custom User Ontology • Maintain servers housing the original documents from available databases • Update these holdings periodically to maintain up-to-date information • Users interface with the system by entering a query • About a location, entity, event, Etc? • The query is used to create an ontology to house information satisfying that particular query • The original resources are queried to populate the ontology • Information extracted from the resources is pedigreed to the source document • The ontology includes images, video, text, audio, etc if relevant and relationships as applicable to the information and query.

  7. Another Option: Custom User Ontology • Visualizations aid the user in exploring the resulting populated ontology • Users can direct exploration to increasing detail • Users can go as far as pulling the pertinent specific resources, if desired. • If space permits, the resulting ontology can be stored in a users “account” for later reference as the user’s own computer may not have the storage capacity. • We could also offer the ontology for download to a free “reader” program that would display it and allow exploration at a later date..

  8. Deployed and CONUS users need information in an understandable and actionable format Jane’s Facial Recog. CALL JUOO Sensor Data Audio Political User Interface to UWAC Analysts WFB Analyst Interface to UWAC Resources UWAC Content Server UWAC File Server Information Engine UWAC Storage and Conversion Servers Matching Engine Site Comber Databases From Trusted Sources Sort, Pedigree, Tag and Name Modeling and Simulation Effort

  9. NATO VIS-NX Paper Vanderbilt-Skene.doc

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