DocumentCode :
2759067
Title :
Process Matching: A Structural Approach for Business Process Search
Author :
Zhu, Jian ; Pung, Hung Keng
Author_Institution :
Dept. of Comput. Sci., Nat. Univ. of Singapore, Singapore, Singapore
fYear :
2009
fDate :
15-20 Nov. 2009
Firstpage :
227
Lastpage :
232
Abstract :
The evaluation of "closeness" between services is always crucial in the process of Web service integration and reuse. However, matching services solely based on their inputs/outputs is insufficient for developers to understand their behavioral properties or other constraints. To go beyond this limitation, services should be matched and integrated at the process level. But existing approaches for business process matching mostly deploy symmetric measure which hardly reflect the perceptions of the requestor, i.e. some behaviors of the process may be highly desirable. To address these issues, this paper presents a structural approach to model Web service processes, and proposes an asymmetric way of computing process similarity based on edit distance. Process structure weights may be specified and contribute to the similarity value. In addition, to ensure a scalable and efficient search, two indexing schemes for the process model are developed.
Keywords :
Web services; business process re-engineering; indexing; Web service integration; business process search; computing process similarity; edit distance; indexing schemes; process matching; process structure weights; symmetric measure; Computer science; Impedance matching; Indexing; Large-scale systems; Ontologies; Pattern matching; Semantic Web; Web services; Web service process modeling; indexing; matching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD '09. Computation World:
Conference_Location :
Athens
Print_ISBN :
978-1-4244-5166-1
Electronic_ISBN :
978-0-7695-3862-4
Type :
conf
DOI :
10.1109/ComputationWorld.2009.61
Filename :
5359588
Link To Document :
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