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An Integrated Framework for Semantic Service Composition using Answer Set Programming

Author

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  • Yilong Yang

    (Department of Computer and Information Science, University of Macau, Macau, China)

  • Jing Yang

    (College of Computer Science and Technology, Guizhou University, Guiyang, China)

  • Xiaoshan Li

    (Department of Computer and Information Science, University of Macau, Macau, China)

  • Weiru Wang

    (Department of Computer and Information Science, University of Macau, Macau, China)

Abstract

Notwithstanding the advancement of service computing in recent years, service composition is still main issue in this field. In this paper, the authors present an integrated framework for semantic service composition using answer set programming. Unlike the AI planning approaches of top-down workflow with nested composition and combining composition procedure into service discovery, this proposed framework integrates designed workflow with nested composition. In addition, the planning is based on interface variables with validation through pre and post conditions. Moreover, a unified implementation of service discovery, selection, composition and validation is achieved by answer set programming. Finally, the framework performance is demonstrated by a travel booking example on QWSDataset.

Suggested Citation

  • Yilong Yang & Jing Yang & Xiaoshan Li & Weiru Wang, 2014. "An Integrated Framework for Semantic Service Composition using Answer Set Programming," International Journal of Web Services Research (IJWSR), IGI Global, vol. 11(4), pages 47-61, October.
    • Handle: RePEc:igg:jwsr00:v:11:y:2014:i:4:p:47-61
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