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Assessing linked data mappings using network measures

Published: 27 May 2012 Publication History

Abstract

Linked Data is at its core about the setting of links between resources. Links provide enriched semantics, pointers to extra information and enable the merging of data sets. However, as the amount of Linked Data has grown, there has been the need to automate the creation of links and such automated approaches can create low-quality links or unsuitable network structures. In particular, it is difficult to know whether the links introduced improve or diminish the quality of Linked Data. In this paper, we present LINK-QA, an extensible framework that allows for the assessment of Linked Data mappings using network metrics. We test five metrics using this framework on a set of known good and bad links generated by a common mapping system, and show the behaviour of those metrics.

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Published In

cover image Guide Proceedings
ESWC'12: Proceedings of the 9th international conference on The Semantic Web: research and applications
May 2012
874 pages
ISBN:9783642302831
  • Editors:
  • Elena Simperl,
  • Philipp Cimiano,
  • Axel Polleres,
  • Oscar Corcho,
  • Valentina Presutti

Sponsors

  • Elsevier
  • MIMOS BERHAD
  • EU SEALS project
  • Yahoo!
  • XLike: XLike.org

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 27 May 2012

Author Tags

  1. linked data
  2. network analysis
  3. quality assurance

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