• DocumentCode
    1056567
  • Title

    Data, Information, and Knowledge in Visualization

  • Author

    Chen, Min ; Ebert, David ; Hagen, Hans ; Laramee, Robert S. ; Van Liere, Robert ; Ma, Kwan-Liu ; Ribarsky, William ; Scheuermann, Gerik ; Silver, Deborah

  • Volume
    29
  • Issue
    1
  • fYear
    2009
  • Firstpage
    12
  • Lastpage
    19
  • Abstract
    In visualization, we use the terms data, information and knowledge extensively, often in an interrelated context. In many cases, they indicate different levels of abstraction, understanding, or truthfulness. For example, "visualization is concerned with exploring data and information," "the primary objective in data visualization is to gain insight into an information space," and "information visualization" is for "data mining and knowledge discovery." In other cases, these three terms indicate data types, for instance, as adjectives in noun phrases, such as data visualization, information visualization, and knowledge visualization. These examples suggest that data, information, and knowledge could serve as both the input and output of a visualization process, raising questions about their exact role in visualization.
  • Keywords
    data mining; data visualisation; data mining; data visualization; information visualization; knowledge discovery; knowledge visualization; Computer science; Data engineering; Data visualization; Humans; Information management; Knowledge engineering; Psychology; Silver; Space technology; Taxonomy; and knowledge-assisted visualization; data; information; information-assisted visualization; knowledge;
  • fLanguage
    English
  • Journal_Title
    Computer Graphics and Applications, IEEE
  • Publisher
    ieee
  • ISSN
    0272-1716
  • Type

    jour

  • DOI
    10.1109/MCG.2009.6
  • Filename
    4736452