Abstract
Recently, web services have been increasingly used to integrate and build business applications on the Internet. Once a web service is published and deployed, clients and other applications can discover and invoke it. With the incredibly increasing number of Web services on the Internet, it is critical for service users to discover desired services that match their requirements. In this paper, we present a novel approach for discovering web services. Based on the current dominating mechanisms of the discovering and describing web services with UDDI and WSDL, the proposed method utilizes Probabilistic Latent Semantic Analysis (PLSA) to capture semantic concepts hidden behind words in a query and the advertisements in services so that services matching is expected to be carried out at concept level. We also present related algorithms and preliminary experiments to evaluate the effectiveness of our approach.
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Zhang, Y., Ma, J. (2007). Discovering Web Services Based on Probabilistic Latent Factor Model. In: Dong, G., Lin, X., Wang, W., Yang, Y., Yu, J.X. (eds) Advances in Data and Web Management. APWeb WAIM 2007 2007. Lecture Notes in Computer Science, vol 4505. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72524-4_6
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DOI: https://doi.org/10.1007/978-3-540-72524-4_6
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