Interactive Story Authoring for Knowledge-Based Support for Investigative Analysis: A Second STAB at Making Sense of VAST Data

The sensemaking task in investigative analysis generates stories that connect entities and events in an input stream of data. The Stab system represents crime stories as hierarchical scripts with goals and states. It generates multiple stories as explanatory hypotheses for an input data stream containing interleaved sequences of events, recognizes intent in a specific event sequence, and calculates confidence values for the generated hypotheses. In this report, we describe Stab2, a new interactive version of the knowledge‐based Stab system. Stab2 contains a story editor that enables users to enter and edit crime stories. We illustrate Stab2 with examples from the IEEE VAST contest datasets.