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2009 International Conference on Computational Intelligence and Security
Web Service Community Discovery Based on Spectrum Clustering
Beijing, China
December 11-December 14
ISBN: 978-0-7695-3931-7
| ASCII Text | x | ||
| Xizhe Zhang, Ying Yin, Mingwei Zhang, Bin Zhang, "Web Service Community Discovery Based on Spectrum Clustering," 2012 Eighth International Conference on Computational Intelligence and Security, vol. 2, pp. 187-191, 2009 International Conference on Computational Intelligence and Security, 2009. | |||
| BibTex | x | ||
| @article{ 10.1109/CIS.2009.162, author = {Xizhe Zhang and Ying Yin and Mingwei Zhang and Bin Zhang}, title = {Web Service Community Discovery Based on Spectrum Clustering}, journal ={2012 Eighth International Conference on Computational Intelligence and Security}, volume = {2}, year = {2009}, isbn = {978-0-7695-3931-7}, pages = {187-191}, doi = {http://doi.ieeecomputersociety.org/10.1109/CIS.2009.162}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - 2012 Eighth International Conference on Computational Intelligence and Security TI - Web Service Community Discovery Based on Spectrum Clustering SN - 978-0-7695-3931-7 SP187 EP191 A1 - Xizhe Zhang, A1 - Ying Yin, A1 - Mingwei Zhang, A1 - Bin Zhang, PY - 2009 KW - web services KW - community mining KW - spectrum clustering VL - 2 JA - 2012 Eighth International Conference on Computational Intelligence and Security ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CIS.2009.162
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.
Index Terms:
web services, community mining, spectrum clustering
Citation:
Xizhe Zhang, Ying Yin, Mingwei Zhang, Bin Zhang, "Web Service Community Discovery Based on Spectrum Clustering," cis, vol. 2, pp.187-191, 2009 International Conference on Computational Intelligence and Security, 2009
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