Improving efficiency of service discovery using Linked data-based service publication

  • Authors:

  • Wuhui Chen;Incheon Paik

  • Affiliations:

  • School of Computer Science and Engineering, University of Aizu, Aizu-Wakamatsu, Japan;School of Computer Science and Engineering, University of Aizu, Aizu-Wakamatsu, Japan

  • Venue:
  • Information Systems Frontiers
  • Year:
  • 2013

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Abstract

It is considered that Web services have had a tremendous impact on the web as a potential silver bullet for supporting a distributed service-based economy on a global scale. However, despite the outstanding progress, their uptake on a web scale has been significantly less than initially anticipated due to higher usage thresholds. For instance, it is a hard task for service provider to seek appropriate semantic information such as OWL ontologies for service annotation in the service publication stage due to the fact that nowadays we are suffering from serious lack of available and ubiquitous ontologies for global consensus. Also it is not realistic for query users who do not possess much semantic knowledge to specify their requests with associated semantic information in the service discovery stage. In this paper, we propose a methodology to build a global social service network based on Link data principles for reducing the using thresholds. First, we propose Linked social service which is published on the open web by following Linked data principles with social link, and then we suggest a new platform for constructing a global social service network based on Linked social service. Then, an approach is proposed to enable exploitation of global social service network, providing Linked Social Service as a Service. Finally, experimental results show that the Linked social service can reduce the using threshold by enabling exploring service to service based on the global social service network.