Naima S. Ougouti

Work place: University of Sciences and Technology of Oran-Mohamed Boudiaf (USTO-MB) , Faculty of Mathematics and Computer Science, LSSD Laboratory, Oran, 31000, Algeria



Research Interests: Information Systems, Information Retrieval, Multimedia Information System, Data Structures and Algorithms


Naïma S. Ougouti is born in 1971. She Holds an Engineer degree in the field of computer science in 1994 at Es-senia university of Oran (Algeria), then a Magister degree in 2004 at the university of sciences and technology of Oran –Mohamed Boudiaf (USTO-MB). She worked as Engineer of computer science in a big Algerian petroleum company from 1996 to 2005 then since 2006, she is an Assistant Professor at (USTO-MB) university. Her field of teaching concerns operating systems, networks and databases. She is also a Member of LSSD laboratory and an active participant in some research projects. Her current research interests include semantic web, information retrieval and interoperability.

Author Articles
A New OWL2 Based Approach for Relational Database Description

By Naima S. Ougouti Hafida Belbachir Youssef Amghar

DOI:, 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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