DAML Intent of Work (IOW) for Dynamics Research Corporation

March 1, 2001 November 30, 2001

 

Task 1 Support Center for Army Lessons Learned (CALL) "communities of interest" University After Next migration from XML schemas to create new DAML+OIL ontologies. Collaborate with Lockheed Martin to support other CALL applications in both natural language and DAML.

Intended User: Developers at CALL who will be creating the new DAML+OIL ontologies.

Motivation to use DAML: CALL is developing knowledge bases that conform to XML DTDs. CALL wants to migrate the DTDs into DAML+OIL ontologies. The beneficiaries will be the University After Next students are learning the course material for their particular community of interest, for example, nursing community.

 

Task 2 Collaborate with IMO and ISX to support Horus and other applications of DAML and demonstrate database publishing of intelligence reports in both natural language and DAML.

Intended User: Intelligence analysts will benefit from contextual searches in their data to prepare intel reports.

Motivation to use DAML: Applications developed for the M&S community including Unit Order of Battle manipulation, database publishing tools for knowledge acquisition / knowledge engineering, and others have application within the intelligence community. Interaction with IMO and ISX may lead to demonstrations of potential re-engineering efforts that would lead to automated DAML generation for Intelink.

 

Task 3 Develop sample proof-of-concept ontologies and instance samples for evolving DoD Modeling and Simulation (M&S) XML standards (e.g., OOTW Human Behavior Representation, scenarios, equipment characteristics and performance data)

Intended User: The Modeling and Simulation communities throughout DoD.

Motivation to use DAML: The DoD M&S community is currently developing XML-based standards for interchanging data using vendor-neutral data interchange formats. By demonstrating related representations with DAML, these high-profile standardization efforts can be shown the advantages for ontological-based interchange. 

 

Task 4 Develop DAML+OIL ontologies and generate instance data from existing DoD knowledge representations (e.g., Universal Joint Task List, Distributed Interactive Simulation equipment taxonomy, Unit Order of Battle).

Intended User: Trainers and exercise planners

Motivation to use DAML: DoD has invested significant resources into developing taxonomies and tools for describing critical military concepts such as tasks, equipment types, and unit organization. These existing representations can be leveraged to provide DAML views that provide significant opportunities for new functionality.

 

Task 5 Support collaboration and promulgation of research activities (e.g., conferences, PI meetings, etc.)

Intended User: All the PIs and potential "customers" to tell us their needs, as the Intelligence community did in February.

Motivation: Research activities benefit from the collaboration of our researchers with others in the field. PIs need to participate in conferences and PI meetings.

Task 6 Perform PM activities (cost reporting, status, etc.)

Intended User: AFRL, DARPA, and DRC team.

Motivation: Coordination is required within the research team to ensure that demonstrations and other activities are developed on schedule and within budget. A minimal level of effort is required to respond to requirements for cost and status reporting to AFRL and DARPA.

 

Next Logical Steps (2002-2003)

Work with military organizations (e.g, DMSO, AMSO, Intelink, and CALL) to integrate DAML technology into baseline applications. Provide ontology development, data conversion/markup, and testing support.