Semantic web services publication and OCT-based discovery in structured P2P network

  • Authors:

  • Huayou Si;Zhong Chen;Yong Deng;Lian Yu

  • Affiliations:

  • Software Institute, School of Electronics Engineering and Computer Science, Peking University, Beijing, China 100871 and School of Information Engineering, Zhejiang Agriculture and Forestry Univer ...;Software Institute, School of Electronics Engineering and Computer Science, Peking University, Beijing, China 100871 and Key Laboratory of High Confidence Software Technologies, Ministry of Educat ...;Software Institute, School of Electronics Engineering and Computer Science, Peking University, Beijing, China 100871 and Key Laboratory of High Confidence Software Technologies, Ministry of Educat ...;School of Software and Microelectronics, Peking University, Beijing, China 102600

  • Venue:
  • Service Oriented Computing and Applications
  • Year:
  • 2013

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Abstract

Semantic web services (SWS) technology is developed to overcome the shortcomings of traditional standards, such as WSDL and UDDI, and enable maximal automation in all aspects of web service. But great improvement of capability in SWS-based service discovery is still desired. To address this issue, we present a distributed and semantic-matching-based approach for SWS publication and discovery by leveraging structured P2P technology. In this paper, first, we present our service matching rule which focuses on the inputs and outputs of SWS. Then, to realize this rule in open distributed environment and achieve the optimal match between a query and its qualified services, we propose not only a concept of ordered-concept-tree (OCT) to semantically sort the relevant concepts for service matching, but also a method to publish ontologies on structured P2P network to freely share and make full use of the concepts defined in different ontologies for OCT construction. Finally, we present a method for SWS publication on P2P network and an algorithm for service discovery. We also conduct experiments to evaluate our approach and the experimental results demonstrate its scalability, effectiveness, and callback capability to discover semantic web services.