Notes
Outline
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.