Web service classification using support vector machine

Wang, H, Shi, Y, Zhou, X, Zhou, Q, Shao, S and Bouguettaya, A 2010, 'Web service classification using support vector machine', in Gregoire, E (ed.) Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI, Arras, France, 27 - 29 October 2010, pp. 3-6.


Document type: Conference Paper
Collection: Conference Papers

Title Web service classification using support vector machine
Author(s) Wang, H
Shi, Y
Zhou, X
Zhou, Q
Shao, S
Bouguettaya, A
Year 2010
Conference name 22nd International Conference on Tools with Artificial Intelligence, ICTAI 2010
Conference location Arras, France
Conference dates 27 - 29 October 2010
Proceedings title Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI
Editor(s) Gregoire, E
Publisher IEEE
Place of publication United States of America
Start page 3
End page 6
Total pages 4
Abstract Classification is a widely used mechanism for facilitatingWeb service discovery. Existing methods for automaticWeb service classification only consider the case where the category set is small. When the category set is big, the conventional classification methods usually require a large sample collection, which is hardly available in real world settings. This paper presents a novel method to conduct service classification with a medium or big category set. It uses the descriptive information of categories in a large-scale taxonomy as sample data, so as to disengage from the dependence on sample service documents. A new feature selection method is introduced to enable efficient classification using this new type of sample data. We demonstrate the effectiveness of our classification method through extensive experiments.
Subjects Information Systems not elsewhere classified
DOI - identifier 10.1109/ICTAI.2010.9
Copyright notice © 2010 IEEE
ISSN 1082-3409
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