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
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