Web Service Planner (WSPR): An Effective and Scalable Web Service Composition Algorithm

Seog-Chan Oh, Dongwon Lee and Soundar R.T. Kumara
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Seog-Chan Oh: The Pennsylvania State University, USA
Dongwon Lee: The Pennsylvania State University, USA
Soundar R.T. Kumara: The Pennsylvania State University, USA

International Journal of Web Services Research (IJWSR), 2007, vol. 4, issue 1, 1-22

Abstract: As the emergence of service-oriented architecture provides a major boost for e-commerce agility, the number of available Web services is rapidly increasing. However, when there are a large number of Web services available and no single Web service satisfies the given request, one has to “compose” multiple Web services to fulfill the goal. In this article, toward this problem, we present an AI planning-based Web service composition algorithm named as WSPR. We evaluate the efficiency and effectiveness of WSPR using two publicly available test sets—EEE05 and ICEBE05. In addition, we analyze the two test sets and suggest several improvements to benchmark Web service composition better.

Date: 2007
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