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KI - Künstliche Intelligenz

, Volume 30, Issue 2, pp 159–162 | Cite as

Applying Linked Data Technologies in the Social Sciences

  • Benjamin ZapilkoEmail author
  • Johann Schaible
  • Timo Wandhöfer
  • Peter Mutschke
Technical Contribution
  • 240 Downloads

Abstract

In recent years, Linked Open Data (LOD) has matured and gained acceptance across various communities and domains. Large potential of Linked Data technologies is seen for an application in scientific disciplines. In this article, we present use cases and applications for an application of Linked Data in the social sciences. They focus on (a) interlinking domain-specific information, and (b) linking social science data to external LOD sources (e.g. authority data) from other domains. However, several technical and research challenges arise, when applying Linked Data technologies to a scientific domain with its specific data, information needs and use cases. We discuss these challenges and show how they can be addressed.

Keywords

Link Data Scientific Domain Link Open Data Link Open Data Cloud Authority File 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  • Benjamin Zapilko
    • 1
    Email author
  • Johann Schaible
    • 1
  • Timo Wandhöfer
    • 1
  • Peter Mutschke
    • 1
  1. 1.GESIS - Leibniz Institute for the Social SciencesCologneGermany

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