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Weight Assignment of Semantic Match Using User Values and a Fuzzy Approach

  • Simone A. Ludwig
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4749)

Abstract

Automatic discovery of services is a crucial task for the e-Science and e-Business communities. Finding a suitable way to address this issue has become one of the key points to convert the Web into a distributed source of computation, as it enables the location of distributed services to perform a required functionality. To provide such an automatic location, the discovery process should be based on the semantic match between a declarative description of the service being sought and a description being offered. This problem requires not only an algorithm to match these descriptions, but also a language to declaratively express the capabilities of services. The proposed matchmaking approach is based on semantic descriptions for service attributes, descriptions and metadata. For the ranking of service matches a match score is calculated whereby the weight values are either given by the user or estimated using a fuzzy approach.

Keywords

Membership Function Service Discovery Service Orient Architecture Service Attribute Directory Service 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Simone A. Ludwig
    • 1
  1. 1.Department of Computer Science, University of SaskatchewanCanada

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