@inproceedings{13cddb19f16241c99c74c1fd030d0d30,
title = "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{\textquoteright}s service request. The process and algorithm of hierarchical clustering based semantic Web service discovery is discussed. Validation is carried out on the dataset.",
keywords = "Hierarchical clustering, Semantic analysis, Service matching, Vector space model, Web service description, Web service discovery",
author = "Huiying Gao and Susu Wang and Lily Sun and Fuxing Nian",
note = "Publisher Copyright: {\textcopyright} IFIP International Federation for Information Processing 2014.; 15th IFIP WG 8.1 International Conference on Informatics and Semiotics in Organisations, ICISO 2014 ; Conference date: 23-05-2014 Through 24-05-2014",
year = "2014",
doi = "10.1007/978-3-642-55355-4\_29",
language = "English",
series = "IFIP Advances in Information and Communication Technology",
publisher = "Springer New York LLC",
pages = "281--291",
editor = "Kecheng Liu and Gulliver, \{Stephen R.\} and Weizi Li and Changrui Yu",
booktitle = "Service Science and Knowledge Innovation - 15th IFIP WG 8.1 International Conference on Informatics and Semiotics in Organisations, ICISO 2014, Proceedings",
}