A Solution to Intelligent Services Selection
Hongbing Wang, Yifei Wang, Zongwei Luo, Xun William Xu · International Conference on Next Generation Web Services Practices · 2006
In the process of Web services composition, one of the principal tasks is to discover and select proper services based on user-defined requirements and preferences. In this paper, we present IS2MSS, an intelligent solution to multi-dimensional services selection. The main contributions of IS2MSS are the ability (1) to learn from previous match samples so that help users discover more appropriate services, (2) to describe multi-dimensional properties with respect to a single service, (3) to optimize the overall property of composite service appropriate to customer's constraints and preferences, and (4) to address uncertain, vague user request. We have implemented a prototype based on IS2MSS