• DocumentCode
    2218296
  • Title

    Jigsaw: Supporting Investigative Analysis through Interactive Visualization

  • Author

    Stasko, John ; Görg, Carsten ; Liu, Zhicheng ; Singhal, Kanupriya

  • Author_Institution
    Georgia Inst. of Technol., Atlanta
  • fYear
    2007
  • fDate
    Oct. 30 2007-Nov. 1 2007
  • Firstpage
    131
  • Lastpage
    138
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Analytics Science and Technology, 2007. VAST 2007. IEEE Symposium on
  • Conference_Location
    Sacramento, CA
  • Print_ISBN
    978-1-4244-1659-2
  • Type

    conf

  • DOI
    10.1109/VAST.2007.4389006
  • Filename
    4389006