• Journal of Internet Computing and Services
    ISSN 2287 - 1136(Online) / ISSN 1598 - 0170 (Print)
    http://jics.or.kr/

Web Service Matching Algorithm using Cluster and Ontology Information


Yong-Ju Lee, Journal of Internet Computing and Services, Vol. 11, No. 1, pp. 59-70, Feb. 2010
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Keywords: Web Service, matching algorithm, keyword search, syntactic analysis, cluster, Ontology

Abstract

With the growing number of web services, there arise issues of finding suitable services. But, the traditional keyword search method is insufficient for two reasons: (1) this does not capture the underlying semantics of web services. (2) this does not suffice for accurately specifying users' information needs. In order to overcome limitations of this keyword search method, we propose a novel syntactic analysis and ontology learning method. The syntactic analysis method gives us a breadth of coverage for common terms, while the ontology learning method gives a depth of coverage by providing relationships. By combining these two methods, we hope to improve both the recall and the precision. We describe an experimental study on a collection of 508 web services that shows the high recall and precision of our method.


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Cite this article
[APA Style]
Yong-Ju Lee (2010). Web Service Matching Algorithm using Cluster and Ontology Information. Journal of Internet Computing and Services, 11(1), 59-70.

[IEEE Style]
Y. Lee, "Web Service Matching Algorithm using Cluster and Ontology Information," Journal of Internet Computing and Services, vol. 11, no. 1, pp. 59-70, 2010.

[ACM Style]
Yong-Ju Lee. 2010. Web Service Matching Algorithm using Cluster and Ontology Information. Journal of Internet Computing and Services, 11, 1, (2010), 59-70.