• DocumentCode
    113414
  • Title

    Visual explanation of government-data for policy making through open-data inclusion

  • Author

    Burkhardt, Dirk ; Nazemi, Kawa ; Retz, Wilhelm ; Kohlhammer, Jorn

  • Author_Institution
    Fraunhofer Inst. for Comput. Graphics Res., Darmstadt, Germany
  • fYear
    2014
  • fDate
    8-10 Dec. 2014
  • Firstpage
    83
  • Lastpage
    89
  • Abstract
    Commonly, data used in public authorities are statistical data about certain indicator. Such valid kind of data allows an objective observation about indicator developments over time. In case of a significant deviation from the normal indicator level, it is difficult to understand the reasons for upcoming problems. In our paper we present an approach that allows an enhanced information gathering through an improved information overview about the depending aspects to such an indicator by considering governmental data-sources that provide also other types of data than just statistics. Even more, our approach integrates a system that allows generating explanations for Open Government Data, especially to specific indicators, based on Linked-Open Data. This enables decision-makers to get hints for unexpected reasons of concrete problems that may influence an indicator.
  • Keywords
    data visualisation; decision making; government data processing; government policies; open systems; public administration; statistical analysis; decision-makers; government-data visual explanation; governmental data-sources; linked-open data; open government data; open-data inclusion; policy making; public authorities; statistical data; Concrete; Data visualization; Decision making; Government; Internet; Semantics; Visualization; Decision Making; E-Govemment; Information Visualization; Linked-Open Data Visualization; Open Government Data Visualization; Policy Modeling; Rule Generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Internet Technology and Secured Transactions (ICITST), 2014 9th International Conference for
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1109/ICITST.2014.7038782
  • Filename
    7038782