Abstract
Web service technology is being applied to organizing business process in many large-scale enterprises. Discovery of composite service, therefore, has become an active research area. In this paper, we utilize a PLWAP-tree algorithm to analyze the relationship among web services from web service usage log. This method generates time-ordered sets of web services which can be exploited to integrate into a real business process. The empirical result shows the methodology is useful, flexible, and efficient. It is able to integrate web services into a composite service according to the mining result.
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Wang, MF., Tsai, MF., Tang, CH., Hu, JY. (2010). Service Mining for Composite Service Discovery. In: Nguyen, N.T., Katarzyniak, R., Chen, SM. (eds) Advances in Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 283. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12090-9_11
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DOI: https://doi.org/10.1007/978-3-642-12090-9_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12089-3
Online ISBN: 978-3-642-12090-9
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