DocumentCode
3149924
Title
A Clustering Method for Web Service Discovery
Author
Liu Jian-Xiao ; He Ke-qing ; Wang Jian ; Ning Da
Author_Institution
State Key Lab. of Software Eng., Wuhan Univ., Wuhan, China
fYear
2011
fDate
4-9 July 2011
Firstpage
729
Lastpage
730
Abstract
With the development of web service applications, how to improve the efficiency of service discovery is an important research work in modern times. From the aspect of service function, this paper clusters web services to form service clusters based on service ontology which is generated by domain modeling. It can significantly reduce the overhead and enhance the service discovery efficiency. The corresponding service clustering algorithm and experiments are given to verify the feasibility of the proposed method.
Keywords
Web services; ontologies (artificial intelligence); pattern clustering; Web service applications; clustering method; domain modeling; service discovery efficiency enhancement; service function; service ontology; Clustering algorithms; Clustering methods; Ontologies; Quality of service; Software engineering; Web services; service clusters; service discovery; service ontology;
fLanguage
English
Publisher
ieee
Conference_Titel
Services Computing (SCC), 2011 IEEE International Conference on
Conference_Location
Washington, DC
Print_ISBN
978-1-4577-0863-3
Electronic_ISBN
978-0-7695-4462-5
Type
conf
DOI
10.1109/SCC.2011.47
Filename
6009330
Link To Document