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Applying Linked Data Technologies in the Social Sciences

Authors :
Peter Mutschke
Timo Wandhöfer
Johann Schaible
Benjamin Zapilko
Source :
Künstliche Intelligenz
Publication Year :
2015
Publisher :
Springer Science and Business Media LLC, 2015.

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. (author's abstract)

Details

ISSN :
16101987 and 09331875
Volume :
30
Database :
OpenAIRE
Journal :
KI - Künstliche Intelligenz
Accession number :
edsair.doi.dedup.....16a38ba59d1a3e5e9abd242023c297a0
Full Text :
https://doi.org/10.1007/s13218-015-0416-6