• DocumentCode
    119590
  • Title

    IPM — A framework for visual sense making VAST 2014 mini-challenge 1

  • Author

    Benjamin, Perakath ; Madanagopal, Karthic ; Gopal, Belita ; Swaminathan, Kannan

  • Author_Institution
    Knowledge Based Systems, Inc.
  • fYear
    2014
  • fDate
    25-31 Oct. 2014
  • Firstpage
    311
  • Lastpage
    312
  • Abstract
    Analysts are increasingly drowning in a flood of information. KBSI has addressed this challenge through the Intelligence Product Mosaic™ (IPM) analysis, visualization, and reporting tool that exploits the cognitive strength of analysts and enables them to discover information intuitively and quickly. This article provides an overview of the IPM analytic process and the visualizations that were used to enable better end user understanding of the information derived from multi-source text data. The main benefits of the IPM tool described in this paper include (i) significant reductions in ‘data-to-decision’ time through the use of semantic and collaborative visual analytics techniques and (ii) significant increases in the ability to exploit information and knowledge embedded within data through the use of semantic methods.
  • Keywords
    Natural Language Processing; Semantic Tagging; VAST 2014; Visual Analytics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visual Analytics Science and Technology (VAST), 2014 IEEE Conference on
  • Conference_Location
    Paris, France
  • Type

    conf

  • DOI
    10.1109/VAST.2014.7042542
  • Filename
    7042542