Hierarchical Clustering Based Web Service Discovery - Service Science and Knowledge Innovation (ICISO 2014) Access content directly
Conference Papers Year : 2014

Hierarchical Clustering Based Web Service Discovery

Huiying Gao
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  • PersonId : 987141
Susu Wang
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  • PersonId : 987177
Lily Sun
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  • PersonId : 982987
Fuxing Nian
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  • PersonId : 987178

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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hal-01350934 , version 1 (02-08-2016)

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Huiying Gao, Susu Wang, Lily Sun, Fuxing Nian. Hierarchical Clustering Based Web Service Discovery. 15th International Conference on Informatics and Semiotics in Organisations (ICISO), May 2014, Shanghai, China. pp.281-291, ⟨10.1007/978-3-642-55355-4_29⟩. ⟨hal-01350934⟩
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