METEOR-S Web Service Annotation Framework with Machine Learning Classification

TitleMETEOR-S Web Service Annotation Framework with Machine Learning Classification
Publication TypeBook Chapter
Year of Publication2005
AuthorsAmit Sheth, Christopher Thomas, Nicole Oldham, Kunal Verma
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 ...

Full Text

N. Oldham, C Thomas, A Sheth, K. Verma, “METEOR-S Web Service Annotation Framework with Machine Learning Classification,”in 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. 137–146.
pages: pp. 137?146
publisher: Springer
year: 2005
related resource url: http://scholar.google.com/citations?view_op=view_citation&hl=en&user=2T3...
hasBookTitle: Semantic Web Services and Web Process Composition: First International Workshop, SWSWPC 2004, San Diego, CA, USA, July 6, 2004, Revised Selected Papers