Today’s greatest intelligence challenges come from extensive but decentralized entities thus exploiting linkages is critical. Money, information, materials, and people have to move within countries or across borders producing observables that analytical organizations must note and draw meaning from. Pattern recognition, insight and the ability to appreciate the probabilistic nature of the process all derive from core competency across many disciplines. Semantic graph-based technology offers the potential to perform real-time threat analysis and warning for the homeland security mission. The semantic graph facilitates this by extracting important relationships and correlations from a plethora of irrelevant data and producing actionable intelligence. Without such a critical strategic capability, we will be unable to identify suspicious linkages and prevent complex threats. The advanced R&D has begun to demonstrate methods to assess meaningful insights derived from disparate, often conflicting data while protecting legal rights and privacy constraints along with the security of all data sources.
Presentation (PDF File)
Video of Talk (RealPlayer File)
Copyright. All Rights Reserved.