IEEE International Conference on e-Business Engineering (ICEBE'06) Context Optimization of AI planning for Services Composition Shanghai, China October 24-October 26 ISBN: 0-7695-2645-4
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICEBE.2006.32
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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||