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Data Linking for the Semantic Web

Author

Listed:
  • Alfio Ferrara

    (Università degli Studi di Milano, Italy)

  • Andriy Nikolov

    (The Open University, UK)

  • François Scharffe

    (University of Montpellier, France)

Abstract

By specifying that published datasets must link to other existing datasets, the 4th linked data principle ensures a Web of data and not just a set of unconnected data islands. The authors propose in this paper the term data linking to name the problem of finding equivalent resources on the Web of linked data. In order to perform data linking, many techniques were developed, finding their roots in statistics, database, natural language processing and graph theory. The authors begin this paper by providing background information and terminological clarifications related to data linking. Then a comprehensive survey over the various techniques available for data linking is provided. These techniques are classified along the three criteria of granularity, type of evidence, and source of the evidence. Finally, the authors survey eleven recent tools performing data linking and we classify them according to the surveyed techniques.

Suggested Citation

  • Alfio Ferrara & Andriy Nikolov & François Scharffe, 2011. "Data Linking for the Semantic Web," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 7(3), pages 46-76, July.
    • Handle: RePEc:igg:jswis0:v:7:y:2011:i:3:p:46-76
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    Cited by:

    1. Lothian Jack & Holmberg Anders & Seyb Allyson, 2019. "An Evolutionary Schema for Using “it-is-what-it-is” Data in Official Statistics," Journal of Official Statistics, Sciendo, vol. 35(1), pages 137-165, March.

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