STAFF: Semantic Targeting and All-source Fusion Framework

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$99,976.00
Award Year:
2011
Program:
SBIR
Phase:
Phase I
Contract:
N66001-11-M-5107
Award Id:
n/a
Agency Tracking Number:
N102-185-0107
Solicitation Year:
2010
Solicitation Topic Code:
N102-185
Solicitation Number:
2010.2
Small Business Information
709 South Harbor City Blvd., Suite 400, Suite 400, Melbourne, FL, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
130550262
Principal Investigator:
Richard Hull
EVP&Chief Scientist
(321) 473-1421
rhull@modusoperandi.com
Business Contact:
Peter Dyson
President&CEO
(321) 473-1444
pdyson@modusoperandi.com
Research Institute:
Stub




Abstract
Modus Operandi proposes the development of a Semantic Targeting and All-source Fusion Framework (STAFF), an innovative, net-centric framework for fusing human intelligence (HUMINT), signals intelligence (SIGINT), full motion video (FMV) and moving target indicator (MTI) data. STAFF leverages text analytics and semantic technologies to identify, extract and model relationships between entities, activities and events depicted in dynamic HUMINT and multi-INT information. These relationships representing the fused information are made available locally and across the enterprise through the Distributed Common Ground System (DCGS) Integration Backbone (DIB). A feature-rich counterinsurgent (COIN) targeting tool is also proposed that uses STAFF web services to produce superior targeting of threats afloat and ashore. STAFF and the targeting tool will significantly reduce intelligence analyst workload and improve tipping and targeting effectiveness within the DCGS-N Program of Record.

* information listed above is at the time of submission.

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