Data Linking for the Semantic Web

Author:

Ferrara Alfio1,Nikolov Andriy2,Scharffe François3

Affiliation:

1. Università degli Studi di Milano, Italy

2. The Open University, UK

3. 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.

Publisher

IGI Global

Subject

Computer Networks and Communications,Information Systems

Reference71 articles.

1. W3C. (2004). SKOS: Simple knowledge organization system. Retrieved from http://www.w3.org/2004/02/skos

2. Alexander, K., Cyganiak, R., Hausenblas, M., & Zhao, J. (2009). Describing linked datasets - on the design and usage of void, the “vocabulary of interlinked datasets”. In Proceedings of the Linked Data on the Web Workshop and the 18th International World Wide Web Conference, Madrid, Spain.

3. Araujo, S., de Vries, A., & Schwabe, D. (2011). Serimi results for OAEI 2011. Paper presented at the Ontology Matching Workshop on Ontology Alignments Evaluation Initiative.

4. Berners-Lee, T., Hollenbach, J., Lu, K., Presbrey, J., Prud’hommeaux, E., & Schraefel, M. (2008). Tabulator Redux: Browsing and Writing Linked Data. In Proceedings of the WWW International Workshop on Linked Data on the Web, Beijing, China.

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