Jigsaw Page

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Summary
Investigative analysts acquire clues and connect small bits of evidence to uncover larger plans, stories, or narratives. Often, the individual bits of evidence are short text documents, and analysts must examine large collections of such documents in order to "put the pieces together" and formulate a well-supported hypothesis about actions that may occur in the future. As the number of documents to examine rises, it becomes more and more challenging for analysts to uncover the embedded plans.

We are creating Jigsaw, a visual analytics system to help analysts better assess, analyze, and make sense of such document collections. Our specific objective is to help analysts reach more timely and accurate understandings of the larger stories embedded throughout textual reports. Jigsaw provides a collection of visualizations that each portray different aspects of the documents. We particularly focus on presenting the identifiable important entities (people, places, organizations, etc.) and their direct or indirect connections. Textual processing extracts the important entities from the documents and then the visualizations help an analyst to explore the relationships and connections among the entities. The system includes graph, calendar, scatterplot and and tabular connections-based views, as well as views of individual document's text and the report collections as a whole. Jigsaw essentially acts as a visual index onto the document collection, helping analysts identify particular documents to read and examine next.

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