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Context Optimization of AI planning for Services Composition
Shanghai, China October 24-October 26
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICEBE.2006.32IEEE International Conference on e-Bu ...
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Lirong Qiu, Chinese Academy of Sciences, 100080, Beijing, China
Zhongzhi Shi, Chinese Academy of Sciences, 100080, Beijing, China
Fen Lin, Chinese Academy of Sciences, 100080, Beijing, China
Web services composition techniques are gaining momentum as the opportunity to establish reusable and versatile inter-operability applications. Many researchers propose their composition approach based on planning techniques. We propose our context aware planning method which comprises global planning and local optimization based on context information. The major technical contributions of this paper are: (1)We propose an ontology-based framework for the context-aware composition of Web services. Context model, which are structured based on OWLS, captures the Service-related, Environment-related, and User-related context and can be used in an unambiguous, machine interpretable form. (2) We propose context-aware plan architecture and thus is more scalability and flexibility for the planning process, and thereby improving the efficiency and precision. (3) We propose a hybrid approach to build a plan corresponding to a context-aware service composition, based on global planning and local optimization, considering both the usability and adoption. We test our approach on a simple, yet realistic example, and the preliminary results demonstrate that our implementation provides a practical solution.
Citation:
Lirong Qiu, Zhongzhi Shi, Fen Lin, "Context Optimization of AI planning for Services Composition," icebe, pp.610-617, IEEE International Conference on e-Business Engineering (ICEBE'06), 2006
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