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  4. Visual correlation analysis to explain open government data based on linked-open data for decision making
 
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2014
Journal Article
Title

Visual correlation analysis to explain open government data based on linked-open data for decision making

Abstract
Public authorities normally consider statistical data about indicators in their decision makings. 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 this article 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 and shows it in graphical form to enable a fast overview gathering. This allows decision-makers to get hints for unexpected reasons of concrete problems that may influence an indicator.
Author(s)
Burkhardt, Dirk
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Nazemi, Kawa
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Parisay, Mohsen
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Kohlhammer, Jörn  orcid-logo
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Journal
International journal for digital society : IJDS  
DOI
10.20533/ijds.2040.2570.2014.0116
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • policy modeling

  • information visualization

  • visual analysis

  • linked open data (LOD)

  • decision support

  • Business Field: Visual decision support

  • Research Line: Human computer interaction (HCI)

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