Title :
Using association rule mining to improve semantic web services composition performance
Author :
Bayati, Shahab ; Nejad, Ali Farahmand ; Kharazmi, Sadegh ; Bahreininejad, Ardeshir
Author_Institution :
Tarbiat Modares Univ., Tehran
Abstract :
There are many usages for the Web services in the World Wide Web. For creating new services we can compose other developed services in the way we want to use them. The large amount of Web services make composing of services a time consuming and impossible job. So to compose services some automated and semi-automated ways were developed. One of these ways is semantic Web services (SWS). In this paper we introduced a method based on association rule mining techniques on Web services to find the best composition among possible compositions to improve quality and performance of Web service composition.
Keywords :
Web services; data mining; semantic Web; World Wide Web; association rule mining; semantic Web services composition; Artificial intelligence; Association rules; Automation; Computerized monitoring; Data mining; Ontologies; Quality of service; Semantic Web; Web services; Web sites; Association Rules; Data Mining; Performance; Semantic Web Services; Web Service Composition;
Conference_Titel :
Computer, Control and Communication, 2009. IC4 2009. 2nd International Conference on
Conference_Location :
Karachi
Print_ISBN :
978-1-4244-3313-1
Electronic_ISBN :
978-1-4244-3314-8
DOI :
10.1109/IC4.2009.4909191
