科研成果详情

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 (I) 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. © 2006 IEEE.