Methods for Intrinsic Evaluation of Links in the Web of Data

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10249)

Abstract

The current Web of Data contains a large amount of interlinked data. However, there is still a limited understanding about the quality of the links connecting entities of different and distributed data sets. Our goal is to provide a collection of indicators that help assess existing interlinking. In this paper, we present a framework for the intrinsic evaluation of RDF links, based on core principles of Web data integration and foundations of Information Retrieval. We measure the extent to which links facilitate the discovery of an extended description of entities, and the discovery of other entities in other data sets. We also measure the use of different vocabularies. We analysed links extracted from a set of data sets from the Linked Data Crawl 2014 using these measures.

Keywords

Data integration Links Quality Monitoring Semantic web 

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Cristina Sarasua
    • 1
  • Steffen Staab
    • 1
    • 2
  • Matthias Thimm
    • 1
  1. 1.Institute for Web Science and TechnologiesUniversity of Koblenz-LandauKoblenzGermany
  2. 2.WAIS Research GroupUniversity of SouthamptonSouthamptonUK

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