Name
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/CIS.2009.162 | CIS (2) |
Keywords | Field | DocType |
soa system,pattern clustering,web service community,web services,service oriented architecture,web service,service community,community mining,software architecture,support web service application,web services dynamic composition,analysis web service community,interactive web service,data mining,web services community,web service execution network,service computing,web service community discovery,spectrum clustering,spectrum,clustering algorithms,engines,process mining,business | Web development,World Wide Web,Web mining,Computer science,Web standards,Data Web,Web modeling,Web service,WS-Policy,Web Coverage Service | Conference |
Volume | ISBN | Citations |
2 | 978-1-4244-5411-2 | 5 |
PageRank | References | Authors |
0.43 | 6 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xi-zhe Zhang | 1 | 38 | 8.94 |
| Ying Yin | 2 | 5 | 3.13 |
| Mingwei Zhang | 3 | 26 | 2.16 |
| Bin Zhang | 4 | 213 | 41.40 |