ASW Find-To-Forecast

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-11-M-0290
Agency Tracking Number: N11A-018-0162
Amount: $149,951.00
Phase: Phase I
Program: STTR
Awards Year: 2011
Solicitation Year: 2011
Solicitation Topic Code: N11A-T018
Solicitation Number: 2011.A
Small Business Information
709 South Harbor City Blvd., Suite 400, Melbourne, FL, -
DUNS: 130550262
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Kent Bimson
 (321) 473-1446
Business Contact
 Peter Dyson
Title: President&CEO
Phone: (321) 473-1444
Research Institution
 University of New Mexico
 Laura M Ferris
 1700 Lomas Blvd. NE, Suite 220
Alburquerque, NM, 87131-0001
 (505) 277-6126
 Nonprofit college or university
As stated in the topic,"The decision environment in which the Anti-Submarine Warfare Commander must operate during threat prosecution is characterized by severe time pressure, complex, multi-component decision tasks, and rapidly evolving and changing information and situational state."There is therefore an increasing need to extend ASW decision support capabilities with the ability to help operators more rapidly find, filter, format and fuse mission-specific information from both traditional"hard"data sources and non-traditional"soft"data sources to support focused decision making and intelligent forecasting. Modus Operandi and the University of New Mexico propose to develop an Anti-Submarine Warfare Find-to-Forecast (ASW F2F) methodology, architecture and prototype that use mission-specific ontologies, vocabularies, grammars and reasoning capabilities to help ASW operators find and exploit mission-critical information from multi-modal sources, thereby increasing their situational understanding and decreasing their detect-to-engage timelines. ASW F2F will be designed to help operators: find available ASW information sources, both hard and soft; filter out irrelevant information quickly; format relevant information as a standardized knowledge representation; fuse normalized intelligence based on an ASW mission ontology; focus operator attention on fused information related to his AOR; and forecast potential courses of action based on advanced, hybrid reasoning techniques.

* Information listed above is at the time of submission. *

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