Title :
A Semantically Structured Approach to Service Community Discovery
Author :
Zhao, Anping ; Ma, Yan
Author_Institution :
Coll. of Comput. & Inf. Sci., Chongqing Normal Univ., Chongqing, China
Abstract :
Service community discovery is employed to supply closely related Web services for future Web advanced intelligent application. We proposed a framework to apply a semantically structured approach to the Web service community modelling and discovery. The solution to the problem is to identify Web services of a service community based on both the semantics of the functionality property of Web services and the inherent semantic association dependency among services, which not only leverages the semantic functionality property but also exploits the semantic association relationship between services and operations. The experimental results and analysis shows that the proposed approach is efficient, feasible and practical.
Keywords :
Web services; Web advanced intelligent application; Web service community discovery; Web service community modelling; functionality property semantics; semantic association dependency; semantic association relationship; semantically structured approach; Communities; Graphical models; Joints; Markov random fields; Probabilistic logic; Semantics; Web services;
Conference_Titel :
Semantics, Knowledge and Grids (SKG), 2012 Eighth International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2561-5
DOI :
10.1109/SKG.2012.10