Title :
A Solution to Intelligent Services Selection
Author :
Wang, Hongbing ; Wang, Yifei ; Luo, Zongwei ; Xu, Xun
Author_Institution :
Dept. of Comput. Sci. & Eng., Southeast Univ., Nanjing
Abstract :
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
Keywords :
Web services; Web service composition; intelligent services selection; multidimensional services selection; Art; Computer science; Constraint optimization; Delay; Fuzzy logic; Learning systems; Machine learning; Multidimensional systems; Prototypes; Web services;
Conference_Titel :
Next Generation Web Services Practices, 2006. NWeSP 2006. International Conference on
Conference_Location :
Seoul
Print_ISBN :
0-7695-2664-0
DOI :
10.1109/NWESP.2006.3
