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Semantic Web for the Military User Transition Breakout Session—Intelligence Dr. Joe Rockmore/Cyladian Technology Consulting 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 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 Significant Issue: Geolocation & Temporal Representation • Understand document enough to know locations mentioned in a document • Placename, lat/lon, BE num, UTM, etc. disambiguation 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 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 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? 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 • Recommendations—How do organizations understand what DAML products/approaches could help them? – Focused TIE’s 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.