Semantic Service Matching in the Context of ODSOI Project

Abstract

Matching services still constitutes a big challenge for most of enterprises in general and notably for large and dynamic ones. This paper delineates a service similarity approach in the context of ODSOI (Ontology-Driven Service-Oriented Integration) project that concern the intra-enterprise integration issues in the field of manufacturing industry. Our approach is based on an extension of OWL-S service similarity. It proposes a rigorous quantitative ranking method based on some novel semantic similarity degrees. An implementation of this ranking method is provided in the form of a prototype coded on Java platform exploiting some existing APIs mainly Racer OWL API, and OWL-S-API.