The lack of web services semantic description leads to inadequate services search results from services registries. We propose a novel approach to semantically cluster web services, and group the similar web services based on the services similarity matrix so as to improve services discovery and composition. The proposed approach uses WordNet-Similarity to compute the similarity of terms of service name, description, I/O parameters, and then re-weights the services vector to decide the similarity of services. The method based on web service semantics we introduced has an acceptable result.
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
Tel.: +1 703 830 6300
Fax: +1 703 830 2300 email@example.com
(Corporate matters and books only) IOS Press c/o Accucoms US, Inc.
For North America Sales and Customer Service
West Point Commons
Lansdale PA 19446
Tel.: +1 866 855 8967
Fax: +1 215 660 5042 firstname.lastname@example.org