Hierarchical Clustering Based Web Service Discovery

Abstract : This paper presents a hierarchical clustering method for semantic Web service discovery. This method aims to improve the accuracy and efficiency of the traditional service discovery using vector space model. The Web service is converted into a standard vector format through the Web service description document. With the help of WordNet, a semantic analysis is conducted to reduce the dimension of the term vector and to make semantic expansion to meet the user’s service request. The process and algorithm of hierarchical clustering based semantic Web service discovery is discussed. Validation is carried out on the dataset.
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Communication dans un congrès
Kecheng Liu; Stephen R. Gulliver; Weizi Li; Changrui Yu. 15th International Conference on Informatics and Semiotics in Organisations (ICISO), May 2014, Shanghai, China. Springer, IFIP Advances in Information and Communication Technology, AICT-426, pp.281-291, 2014, Service Science and Knowledge Innovation. 〈10.1007/978-3-642-55355-4_29〉
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Huiying Gao, Susu Wang, Lily Sun, Fuxing Nian. Hierarchical Clustering Based Web Service Discovery. Kecheng Liu; Stephen R. Gulliver; Weizi Li; Changrui Yu. 15th International Conference on Informatics and Semiotics in Organisations (ICISO), May 2014, Shanghai, China. Springer, IFIP Advances in Information and Communication Technology, AICT-426, pp.281-291, 2014, Service Science and Knowledge Innovation. 〈10.1007/978-3-642-55355-4_29〉. 〈hal-01350934〉

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