STAFF: Semantic Targeting and All-source Fusion Framework

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.