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Applying Linked Data Technologies in the Social Sciences

[journal article]

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

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 ... view more

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)... view less

Keywords
information technology; data bank; artificial intelligence; social science; data access; data organization; data storage; information system; information capture; information science

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

ISSN
1610-1987

Status
Postprint; peer reviewed

Licence
Deposit Licence - No Redistribution, No Modifications


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.