DocumentCode
2728453
Title
Web Service Discovery with additional Semantics and Clustering
Author
Nayak, Richi ; Lee, Bryan
Author_Institution
Queensland Univ. of Technol., Brisbane
fYear
2007
fDate
2-5 Nov. 2007
Firstpage
555
Lastpage
558
Abstract
Due to the lack of semantic descriptions of the Web services, the search results returned by the service registries are effectively inadequate. This paper presents the Semantic Web services Clustering (SWSC) method that extends the semantic representation of services and groups the similar Web services in order to improve the service discovery. The empirical analysis shows the improvement in service discovery with the use of SWSC.
Keywords
Web services; knowledge representation languages; ontologies (artificial intelligence); pattern clustering; semantic Web; specification languages; OWL-S; WSDL; Web service discovery; empirical analysis; semantic Web service clustering method; service registry; Australia; Grounding; Information technology; Monitoring; Ontologies; Semantic Web; Simple object access protocol; Standardization; Testing; Web services;
fLanguage
English
Publisher
ieee
Conference_Titel
Web Intelligence, IEEE/WIC/ACM International Conference on
Conference_Location
Fremont, CA
Print_ISBN
978-0-7695-3026-0
Type
conf
DOI
10.1109/WI.2007.82
Filename
4427151
Link To Document