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Applying Linked Data Technologies in the Social Sciences

[journal article]

Zapilko, Benjamin; Schaible, Johann; Wandhofer, Timo; Mutschke, Peter


This full text is available after a period of embargo until the 24 Nov. 2016

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Please use the following Persistent Identifier (PID) to cite this document:http://nbn-resolving.de/urn:nbn:de:0168-ssoar-46997-3

Further Details
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)
Keywords information science; data bank; social science; data organization; data access; data storage; information capture; information system; information technology; artificial intelligence
Classification Information and Documentation, Libraries, Archives
Method applied research
Free Keywords Linked Open Data; LOD
Document language English
Publication Year 2015
Page/Pages p. 159-162
Journal Künstliche Intelligenz, 30 (2015) 2
DOI http://dx.doi.org/10.1007/s13218-015-0416-6
ISSN 1610-1987
Status Postprint; peer reviewed
Licence Deposit Licence - No Redistribution, No Modifications