An Integrated Framework for Semantic Service Composition using Answer Set Programming
Yilong Yang,
Jing Yang,
Xiaoshan Li and
Weiru Wang
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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
International Journal of Web Services Research (IJWSR), 2014, vol. 11, issue 4, 47-61
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.
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jwsr00:v:11:y:2014:i:4:p:47-61
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