Accessibility navigation


Hierarchical clustering based web service discovery

Gao, H., Wang, S., Sun, L. and Nian, F. (2014) Hierarchical clustering based web service discovery. In: 15th IFIP WG 8.1 International Conference on Informatics and Semiotics in Organisations, 23-24 May 2014, Shanghai, China, pp. 281-291. (Service Science and Knowledge Innovation Liu, K., Gulliver, S.R., Li, W., Yu, C. (Eds.))

Full text not archived in this repository.

It is advisable to refer to the publisher's version if you intend to cite from this work. See Guidance on citing.

Official URL: http://link.springer.com/chapter/10.1007%2F978-3-6...

Abstract/Summary

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.

Item Type:Conference or Workshop Item (Paper)
Refereed:Yes
Divisions:Faculty of Science > School of Mathematical, Physical and Computational Sciences > Department of Computer Science
ID Code:37529

University Staff: Request a correction | Centaur Editors: Update this record

Page navigation