Semantic Web Services Composition Using AI Planning of Description Logics

  • Authors:
  • Lirong Qiu;Fen Lin;Changlin Wan;Zhongzhi Shi

  • Affiliations:
  • Chinese Academy of Sciences, China;Chinese Academy of Sciences, China;Chinese Academy of Sciences, China;Chinese Academy of Sciences, China

  • Venue:
  • APSCC '06 Proceedings of the 2006 IEEE Asia-Pacific Conference on Services Computing
  • Year:
  • 2006

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Abstract

Web services composition techniques are gaining momentum as the opportunity to establish reusable and versatile inter-operability applications. The purpose of Semantic Web Services is to use semantic specification to automate the discovery, invocation, and composition Web services. Description logics is the formalized foundation of Semantic Web Services and provides well-defined semantics. And many researchers propose their composition approach based on planning techniques. We propose our service composition methods based on description logics and AI planning technologies. Our algorithm for Services composition uses backward-chaining search method to find potential candidate services. And We propose a DAG-based method to generate the planning process and filtering the inappropriate services during the DAG generation process. We test our approach on a simple, yet realistic example, and the preliminary results demonstrate that our implementation provides a practical solution.