DocumentCode
1933578
Title
Improved HTN planning approach for service composition
Author
Jianhong, Zhang ; Shensheng, Zhang ; Jian, Cao ; Yujie, Mou
Author_Institution
CIT Lab, Shanghai Jiao Tong Univ., China
fYear
2004
fDate
15-18 Sept. 2004
Firstpage
609
Lastpage
612
Abstract
AI planning techniques is exploited for automatic service composition by representing service composition as a planning problem. An enhanced HTN planning method is developed in which action decomposition is used as plan refinements in partial-order planning. How abstract planning constructs map to the domain of Web services is also discussed, which is based on semantic type matching. Furthermore, execution for service composition is separated from planning and an ECA-based workflow engine is used to execute the service-dependent plan.
Keywords
Internet; planning (artificial intelligence); workflow management software; AI planning techniques; ECA-based workflow engine; HTN planning; Web services; automatic service composition; semantic type matching; service-dependent plan; Artificial intelligence; Availability; Costs; Engines; Libraries; Ontologies; Open systems; Standardization; Standards development; Web services;
fLanguage
English
Publisher
ieee
Conference_Titel
Services Computing, 2004. (SCC 2004). Proceedings. 2004 IEEE International Conference on
Print_ISBN
0-7695-2225-4
Type
conf
DOI
10.1109/SCC.2004.1358075
Filename
1358075
Link To Document