ASW Find-To-Forecast

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$149,951.00
Award Year:
2011
Program:
STTR
Phase:
Phase I
Contract:
N00014-11-M-0290
Award Id:
n/a
Agency Tracking Number:
N11A-018-0162
Solicitation Year:
2011
Solicitation Topic Code:
N11A-T018
Solicitation Number:
2011.A
Small Business Information
709 South Harbor City Blvd., Suite 400, Melbourne, FL, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
130550262
Principal Investigator:
Kent Bimson
Scientist
(321) 473-1446
kbimson@modusoperandi.com
Business Contact:
Peter Dyson
President&CEO
(321) 473-1444
pdyson@modusoperandi.com
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
Abstract
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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