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Data linking for the Semantic Web

Ferrara, Alfio; Nikolov, Andriy and Scharffe, François (2011). Data linking for the Semantic Web. International Journal on Semantic Web and Information Systems, 7(3) pp. 46–76.

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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.

Item Type: Journal Item
Copyright Holders: 2011 IGI Global
ISSN: 1552-6283
Keywords: data linking; instance matching; linked data; matching system; object identification; ontology matching; record linkage; Semantic Web
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
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Item ID: 33222
Depositing User: Kay Dave
Date Deposited: 19 Mar 2012 10:33
Last Modified: 31 Mar 2020 17:10
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