Information Visualization (2008) 7, 118–132. doi:10.1057/palgrave.ivs.9500180
Jigsaw: supporting investigative analysis through interactive visualization
John Stasko1, Carsten Görg1 and Zhicheng Liu1
1School of Interactive Computing & GVU Center, Georgia Institute of Technology, Atlanta, GA, U.S.A.
Correspondence: John Stasko, School of Interactive Computing & GVU Center, Georgia Institute of Technology, 85 5th St., NW, Atlanta GA 30332-0760, U.S.A. Tel.: +1 404 894 5617; Fax: +1 404 894 3146; E-mail: stasko@cc.gatech.edu
Received 3 March 2008; Revised 26 March 2008; Accepted 26 March 2008.
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.
Keywords:
Visual analytics, investigative analysis, intelligence analysis, information visualization, sense-making, multiple views
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