document: A probabilistic semantic approach for discovering web services 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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