Title :
Web Service Discovery with additional Semantics and Clustering
Author :
Nayak, Richi ; Lee, Bryan
Author_Institution :
Queensland Univ. of Technol., Brisbane
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;
Conference_Titel :
Web Intelligence, IEEE/WIC/ACM International Conference on
Conference_Location :
Fremont, CA
Print_ISBN :
978-0-7695-3026-0
