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http://dx.doi.org/10.3745/KIPSTD.2011.18D.2.133

Discovery Methods of Similar Web Service Operations by Learning Ontologies  

Lee, Yong-Ju (경북대학교 이공대학 컴퓨터정보학부)
Publication Information
The KIPS Transactions:PartD / v.18D, no.2, 2011 , pp. 133-142 More about this Journal
Abstract
To ensure the successful employment of semantic web services, it is essential that they rely on the use of high quality ontologies. However, building such ontologies is difficult and costly, thus hampering web service deployment. This study automatically builds ontologies from WSDL documents and their underlying semantics, and presents discovery methods of similar web service operations using these ontologies. The key ingredient is techniques that cluster parameters in the collection of web services into semantically meaningful concepts, and capture the hierarchical relationships between the words contained in the tag. We implement an operation retrieval system for web services. This system finds out a ranked set of similar operations using a novel similarity measurement method, and selects the most optimal operation which satisfies user's requirements. It can be directly used for the web services composition.
Keywords
Learning Ontology; Similar Operations Discovery; Parameter Clustering; Parameter Pattern Analysis; Similarity Measurement;
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Times Cited By KSCI : 1  (Citation Analysis)
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