Jigsaw: Supporting Investigative Analysis through Interactive Visualization

Author:

Stasko John1,Görg Carsten1,Liu Zhicheng1

Affiliation:

1. School of Interactive Computing & GVU Center, Georgia Institute of Technology, Atlanta, GA, U.S.A.

Abstract

Investigative analysts who work with collections of text documents connect embedded threads of evidence in order to formulate hypotheses about plans and activities of potential interest. As the number of documents and the corresponding number of concepts and entities within the documents grow larger, sense-making processes become more and more difficult for the analysts. We have developed a visual analytic system called Jigsaw that represents documents and their entities visually in order to help analysts examine them more efficiently and develop theories about potential actions more quickly. Jigsaw provides multiple coordinated views of document entities with a special emphasis on visually illustrating connections between entities across the different documents.

Publisher

SAGE Publications

Subject

Computer Vision and Pattern Recognition

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