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Improved HTN Planning Approach for Service Composition
Shanghai, China September 15-September 18
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SCC.2004.1358075Services Computing, 2004 IEEE Interna ...
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Zhang Jianhong, CIT Lab of Shanghai Jiaotong University, Shanghai, China
Zhang Shensheng, CIT Lab of Shanghai Jiaotong University, Shanghai, China
Cao Jian, CIT Lab of Shanghai Jiaotong University, Shanghai, China
Mou Yujie, CIT Lab of Shanghai Jiaotong University, Shanghai, China
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.
Citation:
Zhang Jianhong, Zhang Shensheng, Cao Jian, Mou Yujie, "Improved HTN Planning Approach for Service Composition," scc, pp.609-612, Services Computing, 2004 IEEE International Conference on (SCC'04), 2004
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