Title

Clustering Web Services for Automatic Categorization

Publication Type

Conference Proceeding Article

Publication Date

9-2009

Abstract

Analyzing the functionality of Web services is the basis of using Web services effectively and efficiently. The first step in such analysis of Web services is to categorize different services, which may be offered by different service providers, based on their functionalities. In this paper, we present a clustering-based approach to Web service categorization in order to form a hierarchy of service taxonomy. Our novel clustering scheme takes into consideration not only individual factors such as input or output of service operations, but also the latent inter-relationships among the individual factors. Given a set of services that may or may not have been categorized, we adopt individual methods to handle the issue and mark out their classification labels in terms of a common (given) taxonomy, such as UNSPSC. When a new service description is published, the unclassified service is compared with the classified ones and measures of the likelihood that the new service description is belonging to each cluster are calculated. Based on this calculation, the service will be assigned to a suitable category.

Keywords

Inter-relationship of service attributes, service taxonomy, Web service categorization, Web service classification, Web service clustering

Discipline

Computer Sciences | Databases and Information Systems

Research Areas

Information Systems and Management

Publication

SCC 2009: IEEE International Conference on Services Computing, 21-25 September, Bangalore: Proceedings

First Page

380

Last Page

387

ISBN

9780769538112

Identifier

10.1109/SCC.2009.39

Publisher

IEEE

City or Country

Bangalore, India

Additional URL

http://dx.doi.org/10.1109/SCC.2009.39