Soraya Setti Ahmed

Work place: EEDIS Laboratory, Djillali Liabes University of Sidi Bel Abbes, Sidi Bel Abbes, 22000, Algeria



Research Interests: Computational Engineering, World Wide Web, Engineering


Soraya Setti Ahmed is an Assistant Professor at the Computer Science Department of Mascara University, Algeria. She received her Magister degree and an engineer degree in Computer Science in 2006 and 2004 respectively. She is currently pursuing his Ph.D. in Computer Science at the Djillali Liabes University of Sidi Bel Abbes. Her research interests include semantic web, ontology engineering, ontology modularization, NLp, conceptuels graphs of Sowa, multi agent systems.

Author Articles
Ontology Partitioning: Clustering Based Approach

By Soraya Setti Ahmed Mimoun Malki Sidi Mohamed Benslimane

DOI:, Pub. Date: 8 May 2015

The semantic web goal is to share and integrate data across different domains and organizations. The knowledge representations of semantic data are made possible by ontology. As the usage of semantic web increases, construction of the semantic web ontologies is also increased. Moreover, due to the monolithic nature of the ontology various semantic web operations like query answering, data sharing, data matching, data reuse and data integration become more complicated as the size of ontology increases. Partitioning the ontology is the key solution to handle this scalability issue. In this work, we propose a revision and an enhancement of K-means clustering algorithm based on a new semantic similarity measure for partitioning given ontology into high quality modules. The results show that our approach produces meaningful clusters than the traditional algorithm of K-means.

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