1. Semantic Web for the Military User Transition Breakout SessionIntelligence Dr. Joe Rockmore/Cyladian Technology Consulting

2. Participants Pamela Arya/NRO Tim Finan/UMBC Lee Lacy/DRC Richard Lee/Logicon Tom Gower/ONI David Martin-McCormick/IMO Bob Neches/USC-ISI Joe Rockmore/Cyladian Technology Consulting Al Schuler/Aerospace

3. Value Propositions Consumers = custom products Producers = get credit for production Query mining Feedback from missing information, including to collection management Feedback on use of marked up data –Hit counts are poor, but easily measured –Can measure demand Consolidation of data Publication once, derived products

4. Significant Issue: Geolocation & Temporal Representation Understand document enough to know locations mentioned in a document Placename, lat/lon, BE num, UTM, etc. disambiguation

5. Significant Issue: Markup Tools Consumer-based markup tool needed soon Culture = analysts too busy to do any more work, including markup, unless –Its very easy to do –There is clear value to producers (not consumers) –Someone measures them on the quality/quantity of markup Produce knowledge objects from the outset, format from these objects, including English text documents –Will only work in limited cases, when reports are sufficiently structured –Expressibility limitations at odds with identifying the unusual, which is an important task in intelligence –Make key points as knowledge objects, embellish with natural language & use embellishment to improve ontologies

6. Significant Issue: Access to Data Tailored push; also pull (My Intelink), including changes of sufficient magnitude –Subscriptions and data descriptions for matching against subscriptions may be best done using hierarchical ontologies Crawlers of value, but may have access control issues Uncertainty of data (both by source and about source) Inference-based retrieval of information Pedigree critical to maintain Indexing of markup important for speed of access

7. Significant Issue: Collection Tie collection, processing, production together A common markup language will enhance collection, thus optimizing use of intel sources Producers and consumers have different ways of looking at the world, not necessarily a mapping between them –Can consumers provide tasking to producers, via markup of requirements on collection? –Info data needs from UJTL tasks or other statement of data needs Will DAML markup allow semantic understanding of information enough to affect releasability processes?

8. Recommendations Military and intelligence users, beyond those at this workshop, that particularly should hear about DAML: –NIMA Agent-Based Initiative –Information consumers (e.g., service ops centers) –SOCOM –SPACECOM, NIPC (computer network defense) –NCS RecommendationsHow do organizations understand what DAML products/approaches could help them? –Focused TIEs with appropriate producers and consumers around specific value propositions –Organize DAML web site by functionality; describe capability, maturity, etc. Make more useful. Also, need contract approach synopses and status.