A Similarity Measure across Ontologies for Web Services Discovery

Aissa Fellah, Mimoun Malki and Atilla Elci
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Aissa Fellah: EEDIS Laboratory, DjillaliLiabes University of Sidi Bel Abbes, Sidi Bel Abbes, Algeria
Mimoun Malki: LabRI-SBA Laboratory, Ecole Supérieure en Informatique de Sidi Bel-Abbes, Sidi Bel Abbes, Algeria
Atilla Elci: Department of Electrical-Electronics Engineering, Aksaray University, Merkez, Turkey

International Journal of Information Technology and Web Engineering (IJITWE), 2016, vol. 11, issue 1, 22-43

Abstract: Given the critical and difficult nature of discovering Web services in the development process of service oriented architectures, several studies have been proposed to solve this problem. There is a real need to work for matching semantic Web services which use different ontologies. In responding to this need, measuring semantic similarity between SWS may be reduced to the calculation of similarity between ontological concepts. This work is a contribution to achieve semantic interoperability for Web services in a multi-ontology environment, for which the authors present a generic framework for Web services discovery. Here their focus is on the semantic similarity measure-based core of their framework and the authors present a novel algorithm for concepts matching between different ontologies. Results of the experiments confirm the viability of the semantic similarity measure.

Date: 2016
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