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Multi-Level Web Service Clustering to Bootstrap the Web Service Discovery and Selection

Multi-Level Web Service Clustering to Bootstrap the Web Service Discovery and Selection
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Author(s): Banage T. G. S. Kumara (Sabaragamuwa University of Sri Lanka, Sri Lanka), Incheon Paik (University of Aizu, Japan)and Koswatte R. C. Koswatte (Sri Lanka Institute of Information Technology, Sri Lanka)
Copyright: 2019
Pages: 25
Source title: Innovative Solutions and Applications of Web Services Technology
Source Author(s)/Editor(s): Liang-Jie Zhang (Kingdee International Software Group Co., Ltd., China)and Yishuang Ning (Tsinghua University, China)
DOI: 10.4018/978-1-5225-7268-8.ch003

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Abstract

Existing technologies for web services have been extended to give the value-added customized services to users through the service composition. Service composition consists of four major stages: planning, discovery, selection, and execution. However, with the proliferation of web services, service discovery and selection are becoming challenging and time-consuming tasks. Organizing services into similar clusters is a very efficient approach. Existing clustering approaches have problems that include discovering semantic characteristics, loss of semantic information, and a shortage of high-quality ontologies. Thus, the authors proposed hybrid term similarity-based clustering approach in their previous work. Further, the current clustering approaches do not consider the sub-clusters within a cluster. In this chapter, the authors propose a multi-level clustering approach to prune the search space further in discovery process. Empirical study of the prototyping system has proved the effectiveness of the proposed multi-level clustering approach.

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