Structured Stories for MOVINT

Arete will integrate the Mover Intelligence Extraction Engine with the Social Structured Framework (SSF) to produce a capability to generate narratives of MOVINT track data with context derived from associated Geographic Information Systems (GIS) and other foundation data. The Extraction Engine will be derived from the Arete Cognitive Behavior Classifier (CBC) to characterize MOVINT tracks into complex event frames based on story-structured narratives based on the FrameNet semantics used in the SSF. The resulting capability will generate narratives that are human-readable for operator analysis, activity summaries and produce narratives with metadata suitable for artificial intelligence applications. The SSF provides a powerful architecture to enable queries of entities as well as reveal relationships enabled throughout the web-like lexicon that includes participants, activities and predicated objects or relationships.