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
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;
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
DOI :
10.1109/SCC.2011.47
