Data Linking for the Semantic Web

Data Linking for the Semantic Web

Alfio Ferraram (Università degli Studi di Milano, Italy), Andriy Nikolov (The Open University, UK) and François Scharffe (University of Montpellier, France)
DOI: 10.4018/978-1-4666-3610-1.ch008
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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.
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Problem Formulation

Data linking can be formalized as an operation which takes two collections of data as input and produces a collection of mappings between entities of the two collections as output. Mappings denote binary relations between entities corresponding semantically one to another. The data linking task is articulated in steps as shown in Figure 1.

Figure 1.

The data linking tasks


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