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Data Linking for the Semantic Web

Data Linking for the Semantic Web

Alfio Ferraram, Andriy Nikolov, François Scharffe
Copyright: © 2013 |Pages: 32
ISBN13: 9781466636101|ISBN10: 1466636106|EISBN13: 9781466636118
DOI: 10.4018/978-1-4666-3610-1.ch008
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MLA

Ferraram, Alfio, et al. "Data Linking for the Semantic Web." Semantic Web: Ontology and Knowledge Base Enabled Tools, Services, and Applications, edited by Amit Sheth, IGI Global, 2013, pp. 169-200. https://doi.org/10.4018/978-1-4666-3610-1.ch008

APA

Ferraram, A., Nikolov, A., & Scharffe, F. (2013). Data Linking for the Semantic Web. In A. Sheth (Ed.), Semantic Web: Ontology and Knowledge Base Enabled Tools, Services, and Applications (pp. 169-200). IGI Global. https://doi.org/10.4018/978-1-4666-3610-1.ch008

Chicago

Ferraram, Alfio, Andriy Nikolov, and François Scharffe. "Data Linking for the Semantic Web." In Semantic Web: Ontology and Knowledge Base Enabled Tools, Services, and Applications, edited by Amit Sheth, 169-200. Hershey, PA: IGI Global, 2013. https://doi.org/10.4018/978-1-4666-3610-1.ch008

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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.

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