Title :
Web Service Community Discovery Based on Spectrum Clustering
Author :
Zhang, Xizhe ; Yin, Ying ; Zhang, Mingwei ; Bin Zhang
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
More and more Web services are emerging in the Internet with development of service computing over the past decade. The web service in SOA system naturally forms into some service community during execution process. Mining and analysis Web service community will help design SOA system and support Web service application effectively. This article addresses the problem of how to discovering Web services community formed by closely interactive web services. We propose a novel approach which construct Web service execution network from logs and clustering it using spectrum clustering. Generally, the Web services belong to same cluster have strong relative to same task object and we call it Web service community. The approach has been implemented in an experience system for Web services dynamic composition and mining.
Keywords :
Web services; data mining; pattern clustering; software architecture; SOA system; Web service; community mining; service oriented architecture; spectrum clustering; Clustering algorithms; Computational intelligence; Distributed computing; Educational institutions; Information science; Information security; Programming; Service oriented architecture; Web and internet services; Web services; community mining; spectrum clustering; web services;
Conference_Titel :
Computational Intelligence and Security, 2009. CIS '09. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-5411-2
DOI :
10.1109/CIS.2009.162
