Abstract
Researchers have recognized the need for more expressive descriptions of Web services. Most approaches have suggested using ontologies to either describe the Web services or to annotate syntactical descriptions of Web services. Earlier approaches are typically manual, and the capability to support automatic or semi-automatic annotation is needed. The METEOR-S Web Service Annotation Framework (MWSAF) created at the LSDIS Lab at the University of Georgia leverages schema matching techniques for semi-automatic annotation. In this paper, we present an improved version of MWSAF. Our preliminary investigation indicates that, by replacing the schema matching technique currently used for the categorization with a Naïve Bayesian Classifier, we can match web services with ontologies faster and with higher accuracy.
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References
Patil, A., Oundhakar, S., Sheth, A., Verma, K.: METEOR-S Web service Annotation Framework. In: Proceeding of the World Wide Web Conference (2004)
Witten, I., Frank, E.: Data Mining: Practical machine learning tools with Java implementations. Morgan Kaufmann, San Francisco
Heß, A., Kushmerick, N.: Machine Learning for Annotating Semantic Web Services. University College Dublin, Ireland
Heß, A., Johnston, E., Kushmerick, N.: ASSAM: A Tool for Semi-Automatically Annotating Semantic Web Services. In: McIlraith, S.A., Plexousakis, D., van Harmelen, F. (eds.) ISWC 2004. LNCS, vol. 3298, pp. 320–334. Springer, Heidelberg (2004)
Sivashanmugam, K., Verma, K., Sheth, A., Miller, J.: Adding Semantics to Web Services Standards. In: ICWS 2003, LSDIS Lab, University of Georgia (2003)
Sheth, A., Ramakrishnan, C.: Semantic (Web) Technology In Action Ontology Driven Information Systems for Search, Integration and Analysis. Data Engineering special issue on the Semantic Web (2003)
Porter, M.: An algorithm for Suffix Stripping. Program – Automated Library and Information Systems 14(3), 130–137 (1980)
Salton, G., Buckley, C.: Term Weighting Approaches in Automatic Text Retrieval. Information Processing and Management 24(5), 513 (1998)
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© 2005 Springer-Verlag Berlin Heidelberg
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Oldham, N., Thomas, C., Sheth, A., Verma, K. (2005). METEOR-S Web Service Annotation Framework with Machine Learning Classification. In: Cardoso, J., Sheth, A. (eds) Semantic Web Services and Web Process Composition. SWSWPC 2004. Lecture Notes in Computer Science, vol 3387. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30581-1_12
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DOI: https://doi.org/10.1007/978-3-540-30581-1_12
Publisher Name: Springer, Berlin, Heidelberg
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