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Proposition of a New Ontology-Based P2P System for Semantic Integration of Heterogeneous Data Sources

Proposition of a New Ontology-Based P2P System for Semantic Integration of Heterogeneous Data Sources

Naïma Souâd Ougouti, Hafida Belbachir, Youssef Amghar
Copyright: © 2018 |Pages: 31
ISBN13: 9781522553847|ISBN10: 1522553843|EISBN13: 9781522553854
DOI: 10.4018/978-1-5225-5384-7.ch012
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MLA

Ougouti, Naïma Souâd, et al. "Proposition of a New Ontology-Based P2P System for Semantic Integration of Heterogeneous Data Sources." Handbook of Research on Contemporary Perspectives on Web-Based Systems, edited by Atilla Elçi, IGI Global, 2018, pp. 240-270. https://doi.org/10.4018/978-1-5225-5384-7.ch012

APA

Ougouti, N. S., Belbachir, H., & Amghar, Y. (2018). Proposition of a New Ontology-Based P2P System for Semantic Integration of Heterogeneous Data Sources. In A. Elçi (Ed.), Handbook of Research on Contemporary Perspectives on Web-Based Systems (pp. 240-270). IGI Global. https://doi.org/10.4018/978-1-5225-5384-7.ch012

Chicago

Ougouti, Naïma Souâd, Hafida Belbachir, and Youssef Amghar. "Proposition of a New Ontology-Based P2P System for Semantic Integration of Heterogeneous Data Sources." In Handbook of Research on Contemporary Perspectives on Web-Based Systems, edited by Atilla Elçi, 240-270. Hershey, PA: IGI Global, 2018. https://doi.org/10.4018/978-1-5225-5384-7.ch012

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Abstract

Semantic web offers new opportunities to multi-sources integration field, and many approaches like P2P systems are revisited taking into account the new requirements. In this chapter, the authors present their P2P heterogeneous and distributed data integration system. It is a super-peer system, where peers are regrouped by type of data (relational, image, text, etc.) around a super-peer which contains a domain ontology. Peers data sources are exported in a common format in the form of a semantically rich ontology. Schemas reconciliation is done by matching domain and local ontologies by the use of a similarity function whose contribution is based on the direct and indirect semantic neighborhood. Queries are described using ontologies, then routed towards relevant peers thanks to a semantic topology built on top of the existing physical one.

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