DocumentCode :
2866431
Title :
A Semantic-based Grid Service Discovery and Composition
Author :
Chen, Tao ; Zhou, Xiang ; Xiao, Nong
Author_Institution :
Nat. Univ. of Defense Technol., Changsha
fYear :
2007
fDate :
29-31 Oct. 2007
Firstpage :
527
Lastpage :
530
Abstract :
Nowadays, most grid service discovery use keyword matching and never describe the matching degree. Meantime, a user´s request cannot be satisfied by any available service, whereas a composite service obtained by combining available services can be used. When each grid service matches a request best, the service composition may not the best process. In order to solve the two problems, this paper presents a quantification standard for semantic service matching and modifies the classical flexible matching algorithm based on OWL-S. Based upon the quantification standard of service matching and OWL-WS, the service composition algorithm finds the process that best satisfies customer need by constructing a mathematical model and converting the problem to the shortest path problem.
Keywords :
Web services; data mining; grid computing; ontologies (artificial intelligence); semantic Web; OWL-S; OWL-WS; classical flexible matching algorithm; keyword matching; semantic service matching; semantic-based grid service composition; semantic-based grid service discovery; shortest path problem problem; Concrete; Grid computing; Impedance matching; Inference algorithms; Mathematical model; Plugs; Positron emission tomography; Shortest path problem; Taxonomy; Web services;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Semantics, Knowledge and Grid, Third International Conference on
Conference_Location :
Shan Xi
Print_ISBN :
0-7695-3007-9
Electronic_ISBN :
978-0-7695-3007-9
Type :
conf
DOI :
10.1109/SKG.2007.141
Filename :
4438611
Link To Document :
بازگشت