Applying Linked Data Technologies in the Social Sciences

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. 1.

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

  2. 2.

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

  3. 3.

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

  4. 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. 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. 6.

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

  7. 7.

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

  8. 8.

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

References

  1. 1.

    Berners-Lee T (2006) Linked data—design issues. http://www.w3.org/DesignIssues/LinkedData.html. Accessed 30 Apr 2015

  2. 2.

    Boland K, Ritze D, Eckert K, Mathiak B (2012) Identifying references to datasets in publications. In: Zaphiris P, Buchanan G, Rasmussen E, Loizides F (eds) Proceedings of the second international conference on theory and practice of digital libraries (TDPL 2012), LNCS 7489. Springer, Berlin, Heidelberg, pp 150–161

  3. 3.

    Bosch T, Zapilko B, Wackerow J, Gregory A (2013) Towards the discovery of person-level data: reuse of vocabularies and related use cases. In: Proceedings of SemStats 2013 collocated with ISWC 2013

  4. 4.

    Gottron T, Hachenberg C, Harth A, Zapilko B (2011) Towards a Semantic Data Library for the Social Sciences. In: Proceedings of SDA 2011, CEUR, vol 801

  5. 5.

    Heath T, Bizer, C (2011) Linked data: evolving the Web into a Global Data Space. Morgan & Claypool, San Rafael

  6. 6.

    Kommission Zukunft der Informationsinfrastruktur (2011) Gesamtkonzept für die Informationsinfrastruktur in Deutschland, http://www.leibniz-gemeinschaft.de/fileadmin/user_upload/downloads/Infrastruktur/KII_Gesamtkonzept.pdf

  7. 7.

    Ngonga Ngomo A-C, Auer S (2011) LIMES—a time-efficient approach for large-scale link discovery on the web of data. In: Proceedings of IJCAI

  8. 8.

    Schaible J, Gottron T, Scherp A (2014) Survey on common strategies of vocabulary reuse in linked open data modeling. In: Presutti V, dAmato C, Gandon F, dAquin M, Staab S, Tordai A (eds) The semantic web: trends and challenges; 11th international conference, ESWC 2014, Springer, LNCS 8645, pp 457–472

  9. 9.

    Sure Y, Bloehdorn S, Haase P, Hartmann J, Oberle, D (2005) The SWRC ontology—Semantic web for research communities. In: Bento C, Cardoso A, Dias G (eds) Progress in artificial intelligence, LNCS 3808. Springer, Berlin, pp 218–231. doi:10.1007/11595014_22

  10. 10.

    Volz J, Bizer C, Gaedke M, Kobilarov G (2009) Discovering and maintaining links on the web of data. In: Bernstein A, Karger D, Heath T, Feigenbaum L, Maynard D, Motta E, Thirunarayan K (eds) Proceedings of the 8th international Semantic Web Conference (ISWC ’09), Springer, pp 650–665. doi:10.1007/978-3-642-04930-9_41

  11. 11.

    Wissenschaftsrat (2011) Empfehlungen zu Forschungsinfrastrukturen. Geschäftsstelle des WR

  12. 12.

    Zapilko B, Schaible J, Mayr P, Mathiak B (2013) TheSoz: a SKOS representation of the thesaurus for the social sciences. Semantic Web 4(3):257–263. doi:10.3233/SW-2012-0081

    Google Scholar 

  13. 13.

    Zapilko B (2014) Methods for matching of linked open social science data. Dissertation, Universität Mannheim

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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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Keywords

  • Link Data
  • Scientific Domain
  • Link Open Data
  • Link Open Data Cloud
  • Authority File