WWW2007 Poster Details
Poster Title:
A Probabilistic Semantic Approach for Discovering Web Services
Authors:
  • Jiangang Ma (Victoria University, Australia)
  • Jinli Cao (La Trobe University, Australia)
  • Yanchun Zhang (Victoria University, Australia)
Abstract:
Service discovery is one of challenging issues in Service-Oriented computing. Currently, most of the existing service discovering and matching approaches are based on keywords-based strategy. However, this method is inefficient and time-consuming. In this paper, we present a novel approach for discovering web services. Based on the current dominating mechanisms of discovering and describing Web Services with UDDI and WSDL, the proposed approach utilizes Probabilistic Latent Semantic Analysis (PLSA) to capture semantic concepts hidden behind words in the query and advertisements in services so that services matching is expected to carry out at concept level. We also present related algorithms and preliminary experiments to evaluate the effectiveness of our approach.
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