Work place: LIRIS UMR 5205, INSA of Lyon, 69000, France
E-mail: youssef.amghar@liris.cnrs.fr
Website: https://www.researchgate.net/profile/Youssef-Amghar
Research Interests: Multimedia Information System, Information Retrieval, Information Systems
Biography
Youssef Amghar is born in 1956. He is Professor of management information systems at the Scientific and Technical University of Lyon where he is the head of Computer Science Department. He holds a PhD in Computer Science from the same university in 1989 following by an HDR in 1997.
His field of teaching concern project management, databases and development processes. His is an active member of laboratory of information system of INSA de Lyon. His current research interests include information retrieval, interoperability of applications and legal documents. He is author of more than 100 papers related to these research activities and managed some projects about decisions support. Actually, he is responsible of research team working on the domain of service oriented computing.
By Naima S. Ougouti Hafida Belbachir Youssef Amghar
DOI: https://doi.org/10.5815/ijitcs.2015.01.06, Pub. Date: 8 Dec. 2014
Nowadays, the scientific community is more and more interested by the mediation problem within Peer-to-Peer (P2P) systems and by data sources migration within the semantic web. Data integration and interoperability become a necessity to meet the need for information exchange between heterogeneous information systems. They reflects the ability of an information system to collaborate with other systems sometimes of a very different nature and aims at developing architectures and tools for sharing, exchanging and controlling data. In this context we have proposed a new heterogeneous and distributed data management system in a P2P environment called MedPeer. Among this system functions, we have focused in this article on relational databases description through the use of ontologies. We thus propose Relational.OWL2E, a new approach that, starting from the relational schema, generates an ontology based on the OWL2 language. Our main contribution lies in the semantics we have added to relational databases concepts in representing attributes by rich XML schema datatypes, primary keys, unique keys, foreign keys and by associating to each class a set of synonyms in order to guide the process of discovering semantic correspondences.
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