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.
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Izza, S., Vincent, L. (2008). Semantic Service Matching in the Context of ODSOI Project. In: Mertins, K., Ruggaber, R., Popplewell, K., Xu, X. (eds) Enterprise Interoperability III. Springer, London. https://doi.org/10.1007/978-1-84800-221-0_28
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DOI: https://doi.org/10.1007/978-1-84800-221-0_28
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