Abstract
Automated composition of web services can be realized by using planning techniques in AI. This paper introduces an open and flexible framework for service planning and execution. A hybrid algorithm based on Hierarchical Task Network (HTN) planning and partial order planning (POP) is developed to do service planning. A semantic type-matching algorithm is introduced to matching actions of plan to suitable operations of web services. Compared with other service composition methods, this system has high planning efficiency and good executable ability and can satisfy the need of dynamic business process application.
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© 2004 Springer-Verlag Berlin Heidelberg
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Jianhong, Z., Shensheng, Z., Jian, C. (2004). Planning Based Service Composition System. In: Liew, KM., Shen, H., See, S., Cai, W., Fan, P., Horiguchi, S. (eds) Parallel and Distributed Computing: Applications and Technologies. PDCAT 2004. Lecture Notes in Computer Science, vol 3320. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30501-9_172
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DOI: https://doi.org/10.1007/978-3-540-30501-9_172
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24013-6
Online ISBN: 978-3-540-30501-9
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