Ontology for the Intelligence Community
Venue: Aberdeen Proving Ground, MD
Date:
- Thursday, April 19, 2012
- Friday, April 20, 2012
Draft Schedule April 19 9:00 What is ontology and what is it useful for?
- Failures and successes of ontology technology
- Semantic enhancement as a strategy for integration of military intelligence data
10:30 Break
10:45: Military intelligence: an overview of the domain from a data integration perspective
- Types of data
- Types of entity to which these data relate
- Joint Intelligence Doctrine
- The domain of military intelligence ontology
12:15 Lunch
13:00 A strategy to ensure consistency of data across multiple domains A repeatable process for creating ontologies The Semantic Enhancement approach
14:30 Ontology for the intelligence analysts (B. Mandrick) Ontology and military doctrine A repeatable process for creating ontologies
Annotations of data headings vs. Annotations of data column content
1. One big chunk of the agenda for the training event, I think, should be devoted to ontology building, by analogy with our work with Bill in Buffalo on creating the FacialFeature ontology. We could choose 2 or 3 similar topics, and work with the people in the room on building ontologies for each. In this way, they learn what is involved, and we all end up with more ontology content to work with in the future.
2. There seemed to be an interest in the topic of ontology coordination, which we got to at the end of the last training event. I think we should push this further by working out exactly what ontology content we need to build, and how a division of labor would work.
3. The idea of ontology views (ontodog, idiosyncratic terms ...) and of the relation between ontology and data should be pushed further -- (a) to educate the participants, (b) to get clearer about what we need to do to address their needs. I am still working on a text for the SE - Methodology document on these matters.
4. BFO, showing especially how BFO can help with item 2.
5. Relations to NIEM, JC3IEDM, (global graph?) 6. MIOF 7. Ontologies of data (-types) vs. ontologies of real world content survey of video ontologies
