STAFF: Semantic Targeting and All-source Fusion Framework
Navy SBIR FY2010.2

Sol No.: Navy SBIR FY2010.2
Topic No.: N102-185
Topic Title: STAFF: Semantic Targeting and All-source Fusion Framework
Proposal No.: N102-185-0107
Firm: Modus Operandi, Inc.
709 South Harbor City Blvd., Suite 400
Melbourne, Florida 32901-1936
Contact: Richard Hull
Phone: (321) 473-1421
Web Site:
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.
Benefits: The anticipated benefits of STAFF are: 1) significantly reduced analyst workload, 2) superior COIN situational awareness, 3) improved targeting and tipping effectiveness, 4) fusion of HUMINT and multi-INT data within a net-centric environment, and 5) greater interoperability. Other commercial opportunities for this R&D include law enforcement and border protection applications.