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2007
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Learning ontologies to improve the quality of automatic web service matching

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Learning ontologies to improve the quality of automatic web service matching
This paper presents a novel technique that significantly improves the quality of semantic Web service matching by (1) automatically generating ontologies based on Web service descriptions and (2) using these ontologies to guide the mapping between Web services. The experimental results indicate that with our unsupervised approach we can eliminate up to 70% of incorrect matches that are made by dictionarybased approaches. Categories and Subject Descriptors C.2.0 [Computer Systems Organization]: COMPUTERCOMMUNICATION NETWORKS--Data communications General Terms Algorithms, Standardization Keywords Semantics, Web services
Hui Guo, Anca Ivan, Rama Akkiraju, Richard Goodwin
Added 22 Nov 2009
Updated 22 Nov 2009
Type Conference
Year 2007
Where WWW
Authors Hui Guo, Anca Ivan, Rama Akkiraju, Richard Goodwin
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