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
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;
Conference_Titel :
Services Computing, 2004. (SCC 2004). Proceedings. 2004 IEEE International Conference on
Print_ISBN :
0-7695-2225-4
DOI :
10.1109/SCC.2004.1358075
