Jigsaw: Supporting Investigative Analysis through Interactive Visualization

Authors:
John Stasko;Carsten Gorg;Zhicheng Liu;Kanupriya Singhal
Affiliations:
School of Interactive Computing&GVU Center, Georgia Institute of Technology. e-mail: stasko@cc.gatech.edu;School of Interactive Computing&GVU Center, Georgia Institute of Technology. e-mail: goerg@cc.gatech.edu;School of Interactive Computing&GVU Center, Georgia Institute of Technology. e-mail: zcliu@cc.gatech.edu;School of Interactive Computing&GVU Center, Georgia Institute of Technology. e-mail: ksinghal@cc.gatech.edu
Venue:
VAST '07 Proceedings of the 2007 IEEE Symposium on Visual Analytics Science and Technology
Year:
2007

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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 reports 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.