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2006 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops
SLF4SS: Facilitating Flexible Services Selection
Hong Kong, China
December 18-December 22
ISBN: 0-7695-2749-3
Hongbing Wang, Southeast University, China
Yifei Wang, Southeast University, China
Joshua Zhexue Huang, The University of Hongkong, Hong Kong
Xun Xu, Southeast University, China
In this paper, we present SLF4SS, a self-learning framework for services selection. The main features of SLF4SS include (1) learning from previous match samples to help users discover more appropriate services, (2) using multi-dimensional properties to represent services for evaluation and selection, (3) optimizing the overall property of composite service appropriate to customer?s constraints and preferences, and (4) addressing user?s uncertain, vague requests. SLF4SS can simplify selection of suitable Web services in building high level services for various business applications, reduce implementation cost, and shorten the time of deploying enterprises applications based on SOA.
Citation:
Hongbing Wang, Yifei Wang, Joshua Zhexue Huang, Xun Xu, "SLF4SS: Facilitating Flexible Services Selection," wi-iatw, pp.312-315, 2006 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Workshops, 2006
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