semantic web for the military user
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Semantic Web for the Military User. Intelligence Breakout Session Dr. Joe Rockmore/Cyladian Technology Consulting. Participants. Elaine Marsh/NRL Frank Muller/BBN Paul Kogut/Lockheed-Martin Joe Rockmore/Cyladian. Charter.

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semantic web for the military user

Semantic Web for the Military User

Intelligence Breakout Session

Dr. Joe Rockmore/Cyladian Technology Consulting

  • Elaine Marsh/NRL
  • Frank Muller/BBN
  • Paul Kogut/Lockheed-Martin
  • Joe Rockmore/Cyladian
  • How do the ideas of the semantic web specifically apply to intelligence problems?
  • What unique problems does the intelligence community have with respect to using semantic web technology?
  • How can we leverage the work being done in DAML, and specifically the applications to intelligence, to other efforts?
value propositions
Value Propositions
  • Consumers = custom products; producers = get credit for production
  • Partial automation of analysis tasks (helps info overload)
  • Consolidation of data (structured and unstructured)
  • Supports collaboration across orgs by common understanding (via ontologies and inference making)
  • Publish once, derived products
  • Better extraction of information & “query mining”
  • Feedback on missing information, including to collection management
semantic web functional architecture






Semantic Web Functional Architecture
  • Browsing
  • Visualization
  • Q & A
  • Etc.




{ DAML }




Ont dev

intelligence ontologies vice c2 logistics or others
Intelligence Ontologies(vice C2, logistics, or others)
  • .Intelligence needs to talk about what was, is, and might be (with uncertainty), while C2 plans what to do with resources available, logistics makes resources available, etc.
    • Ontologies need to reflect differences in data and mission
  • Issues of interest to intelligence (primary)
    • Money laundering, geopolitical issues, financial transactions, non-military organizations, drugs, counter-terrorism, etc.
    • Imagery, signals, open source, & analysis of this data
  • Generally higher levels of abstraction than C2, etc.
  • Source info and confidence in source important
  • Temporal and spatial reasoning important
significant issue geolocation temporal representation
Significant Issue: Geolocation & Temporal Representation
  • Understand documents enough to know locations in a document
    • Placename, lat/lon, BE num, UTM, etc.
    • Disambiguation
    • Granularity issues
  • Understand documents enough to know temporal aspects in a document
    • Absolute time in different granularity (date & time to milliseconds vs. season) and representations (Julian date, DTG, etc.)
    • Disambiguation
    • Relative time (before, after, within, overlapping, close to, etc.)
  • Coreference problems in geolocations and times
significant issue markup tools
Significant Issue: Markup Tools
  • Consumer-based and producer-based markup tools needed
    • Combine automated and manual markup intelligently
    • Markup as part of authoring
  • Culture is analysts (producers) are too busy to do any additional work, such as markup, unless
    • Its very easy to do
    • There is clear value to producers (not just consumers)
    • Someone measures them on the quality/quantity of markup
  • Mid term: mixed initiative, where authoring and knowledge object creation are done in parallel and with either driving the process
  • A long term view: author knowledge objects from the outset; form products from these objects, including English text documents
  • Multilingual opportunities
significant issue access to data
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 (vice database schemata, which are not sufficiently expressive)
  • Crawlers of value, but may have access control issues (open source an exception)
  • Uncertainty of data (both by source and about source)
  • Inference-based retrieval of information
  • Pedigree critical to maintain (but often raises the security levels)
  • Indexing of markup important for speed of access
  • Timelines for intelligence information.
    • Can be long, if national
    • Can be short, if tactical
significant issue collection
Significant Issue: Collection
  • Tie collection, processing, production together
  • A common markup language will enhance collection, thus optimizing use of intel resources
  • Producers and consumers have different ways of looking at the world; there is 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
significant issue security
Significant issue:Security
  • Will DAML markup allow semantic understanding of information enough to affect releasability processes?
    • Can we do our collection and analysis at SCI and report at lower levels (including collateral , coalition, and unclass)?
  • [other issues]
  • Military and intelligence users that particularly should hear about semantic web:
    • DoD elements: DIA (esp JIVA), NSA
    • Agencies: NRO, NIMA, CIA
    • Service intel agencies: ISCOM, AFIA, ONI, MCIA
    • Unified commands: JIC’s and JAC’s
    • Standards setting and interoperability orgs
  • How do organizations understand what DAML products and approaches could help them?
    • Focused TIE’s with appropriate producers and consumers around specific value propositions

Need straightforward explanation of what

DAML is and its value added (over XML)