Assignment Problems
WordNet::Similarity: measuring the relatedness of concepts
HLT-NAACL--Demonstrations '04 Demonstration Papers at HLT-NAACL 2004
Semi-automatic semantic-based web service classification
BPM'06 Proceedings of the 2006 international conference on Business Process Management Workshops
METEOR-S web service annotation framework with machine learning classification
SWSWPC'04 Proceedings of the First international conference on Semantic Web Services and Web Process Composition
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This paper introduces a semantic categorization technique whose goal is to classify web service structural elements into their semantically described counterparts The semantic representations of the web service elements are provided by a set of predefined ontologies Our technique proposes a three layer categorization approach based on the WSDL document structure, i.e its operations and input/output parameters By means of the proposed categorization technique, automatic web service invocation is enabled in addition to semantic annotation of web service Apart from presenting the theoretical details of the semantic categorization technique, this paper conducts preliminary assessment of its performance in terms of classification accuracy and compares it to one of the most known and successful web service classification tools.