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Applying Linked Data Technologies in the Social Sciences

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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.

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Notes

  1. http://infolis.github.io/ (accessed 15/05/2015).

  2. http://www.dnb.de/gnd (accessed 15/05/2015).

  3. http://viaf.org/viaf/data/ (accessed 15/05/2015).

  4. The prototype was the result of a cooperation between Karlsruhe Institute of Technology (KIT), the Institute for Web Science and Technologies (WeST), the statistical office and IT service provider of the federal state North Rhine-Westphalia IT.NRW and GESIS.

  5. http://www.sense4us.eu/ (accessed 15/05/2015). The project has received funding from the European Unions Seventh Framework Programme for research, technological development and demonstration under grant agreement no. 611242.

  6. http://lod-cloud.net/ (accessed 15/05/2015).

  7. http://www.ddialliance.org/ (accessed 15/05/2015).

  8. http://www.w3.org/TR/skos-primer/ (accessed 15/05/2015).

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Authors and Affiliations

  1. GESIS - Leibniz Institute for the Social Sciences, Unter Sachsenhausen 6-8, 50667, Cologne, Germany

    Benjamin Zapilko, Johann Schaible, Timo Wandhöfer & Peter Mutschke

Authors
  1. Benjamin Zapilko
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  2. Johann Schaible
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  3. Timo Wandhöfer
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  4. Peter Mutschke
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Correspondence to Benjamin Zapilko.

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Zapilko, B., Schaible, J., Wandhöfer, T. et al. Applying Linked Data Technologies in the Social Sciences. Künstl Intell 30, 159–162 (2016). https://doi.org/10.1007/s13218-015-0416-6

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  • DOI: https://doi.org/10.1007/s13218-015-0416-6

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