Abstract
Semantic Web Service enables Web Service to become an entity which computer can understand, supporting automatic discovery, execution and composition of services. Thus it has gradually become a focus of service-oriented computing research. OWL-S, which is a W3C recommendation, lacks clear description of non-functional properties, effective service matching algorithms and dynamic adjustment of service, and it is executed just in one way strictly without much flexibility in the practical application, resulting in the limitation of its widespread adoption. In this paper, OWL-S is effectively extended by a proposed method based on ontology semantics reasoning and matching which is to support the automated discovery, matching and composition of Web Service, implemented by adding essential ontology information to expand Web Service ontology. Moreover, its effectiveness has been verified by a case study of veterinarian reservation service.
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Zhang, J., Lin, P., Huang, P., Wu, G. (2011). Research on Semantic Web Service Composition Based on Ontology Reasoning and Matching. In: Liu, C., Chang, J., Yang, A. (eds) Information Computing and Applications. ICICA 2011. Communications in Computer and Information Science, vol 243. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27503-6_62
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DOI: https://doi.org/10.1007/978-3-642-27503-6_62
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