Title :
Jigsaw: Supporting Investigative Analysis through Interactive Visualization
Author :
Stasko, John ; Görg, Carsten ; Liu, Zhicheng ; Singhal, Kanupriya
Author_Institution :
Georgia Inst. of Technol., Atlanta
fDate :
Oct. 30 2007-Nov. 1 2007
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.
Keywords :
data visualisation; text analysis; Jigsaw; interactive visualization; multiple coordinated views; sense-making processes; text documents collections; visual analytic system; Algorithm design and analysis; Costs; Data visualization; Electronic mail; Embedded computing; Information analysis; Information systems; Performance analysis; Visual analytics; Yarn; Visual analytics; information visualization; intelligence analysis; investigative analysis; multiple views;
Conference_Titel :
Visual Analytics Science and Technology, 2007. VAST 2007. IEEE Symposium on
Conference_Location :
Sacramento, CA
Print_ISBN :
978-1-4244-1659-2
DOI :
10.1109/VAST.2007.4389006