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Business Process
Control Flow
Impedance Matching
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Discovering Linkage Patterns among Web Services Using Business Process Knowledge
Discovering Linkage Patterns among Web Services Using Business Process Knowledge,10.1109/SCC.2011.54,Mohammed AbuJarour,Ahmed Awad
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Discovering Linkage Patterns among Web Services Using Business Process Knowledge
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Mohammed AbuJarour
,
Ahmed Awad
Discovering relations among web services has been a fruitful research topic in services computing. Such relations are useful for service discovery, selection, composition, etc. The much information about web services is available, the better/more relations can be discovered. Based on the technical information provided in WSDL files, simple relations can be discovered. Finding more comprehensive relations requires additional information, such as semantic descriptions, infor- mation about service consumers, or service compositions. Rich semantic service descriptions are not so common in practice. Experiments have shown that similar users do not necessarily use the same web services. Using service compositions gives good results, however, researchers assume that they have access to such compositions, which is not the typical case in practice. Additionally, using service compositions is not su cient to determine types and strengths of such relations. In this work, we propose a novel approach to discover relations among web services in the form of linkage patterns based on the configurations of business processes that use them. We specify types and weights of the discovered linkage patterns based on
control flow
patterns in business processes. We have implemented this approach using Oryx, a process
modeling tool
and repository, and Depot, a service registry, and validated it through real-world examples, as we show in this paper. Keywords-Service Discovery, Service Recommendation
Conference:
IEEE International Conference on Services Computing - IEEESCC
, 2011
DOI:
10.1109/SCC.2011.54
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References
(19)
Learning domain ontologies for Web service descriptions: an experiment in bioinformatics
(
Citations: 57
)
Marta Sabou
,
Chris Wroe
,
Carole A. Goble
,
Gilad Mishne
Conference:
World Wide Web Conference Series - WWW
, pp. 190-198, 2005
Simlarity Search for Web Services
(
Citations: 286
)
Xin Dong
,
Alon Y. Halevy
,
Jayant Madhavan
,
Ema Nemes
,
Jun Zhang
Conference:
Very Large Data Bases - VLDB
, pp. 372-383, 2004
Discovery of Semantic Relations between Web Services
(
Citations: 6
)
Lin Lin
,
Ismailcem Budak Arpinar
Conference:
International Conference on Web Services - ICWS
, pp. 357-364, 2006
Toward Web Service Dependency Discovery for SOA Management
(
Citations: 5
)
Sujoy Basu
,
Fabio Casati
,
Florian Daniel
Conference:
IEEE International Conference on Services Computing - IEEESCC
, pp. 422-429, 2008
Personalized Web Service Ranking via User Group Combining Association Rule
(
Citations: 6
)
Wenge Rong
,
Kecheng Liu
,
Lin Liang
Conference:
International Conference on Web Services - ICWS
, pp. 445-452, 2009