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Quality Reasoning in the Semantic Web

  • Chris Baillie
  • Peter Edwards
  • Edoardo Pignotti
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7650)

Abstract

Assessing the quality of data published on the Web has been identified as an essential step in selecting reliable information for use in tasks such as decision making. This paper discusses a quality assessment framework based on semantic web technologies and outlines a role for provenance in supporting and documenting such assessments.

Keywords

provenance linked data quality assessment 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Chris Baillie
    • 1
  • Peter Edwards
    • 1
  • Edoardo Pignotti
    • 1
  1. 1.Computing Science & dot.rural Digital Economy ResearchUniversity of AberdeenUnited Kingdom

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