DocumentCode
2681907
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
fYear
2012
fDate
22-24 Oct. 2012
Firstpage
136
Lastpage
142
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Semantics, Knowledge and Grids (SKG), 2012 Eighth International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4673-2561-5
Type
conf
DOI
10.1109/SKG.2012.10
Filename
6391821
Link To Document