|Title||METEOR-S Web Service Annotation Framework with Machine Learning Classification|
|Publication Type||Book Chapter|
|Year of Publication||2005|
|Authors||Amit Sheth, Christopher Thomas, Nicole Oldham, Kunal Verma|
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 ...
|Full Text|| |
N. Oldham, C Thomas, A Sheth, K. Verma, ÂMETEOR-S Web Service Annotation Framework with Machine Learning Classification,Âin Semantic Web Services and Web Process Composition: First International Workshop, SWSWPC 2004, San Diego, CA, USA, July 6, 2004, Revised Selected Papers, Lecture Notes in Computer Science, Vol. 3387, Springer, January 2005, pp. 137Â146.