DocumentCode
2378384
Title
The research and implementation of Web Service classification and discovery based on semantic
Author
Wu, Hang ; Guo, Chaozhen
Author_Institution
Dept. of Comput. Sci. & Technol., Fuzhou Univ., Fuzhou, China
fYear
2011
fDate
8-10 June 2011
Firstpage
381
Lastpage
385
Abstract
Nowadays, there are many Web Service in the network, these Web Services release to the network are free, can not be classified effective, it leads to Web Service Requesters waste lots of time in searching for appropriate Web Service. For accelerating Web Service founded and enhancing the precision and exactness of searching service, this paper introduces a method about making use of Ontology Web Language to classify Web Services, and how to speed up Web Service discovery. Web Service classification depends on the matching methods to compare the service name, input and output parameter, service description among services that we decide to classify. We determine the position and meaning of them in the ontology after using some matching algorithm. Through query OWL ontology to find the Web Service which can meet our needs. For confirm our study, we design and implement a Web Service Classification and Discovery System which based on Semantic and in the environment of Multi-Agent.
Keywords
Web services; classification; knowledge representation languages; multi-agent systems; ontologies (artificial intelligence); query languages; semantic Web; Web service classification; Web service discovery; matching algorithm; multiagent system; ontology web language; query OWL ontology; searching service; semantic Web; service description; service name; Computer architecture; OWL; Ontologies; Registers; Semantics; Servers; Web services; Domain ontology; OWL; WSDL; Web Service classification; Web Service discovery;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Supported Cooperative Work in Design (CSCWD), 2011 15th International Conference on
Conference_Location
Lausanne
Print_ISBN
978-1-4577-0386-7
Type
conf
DOI
10.1109/CSCWD.2011.5960102
Filename
5960102
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