Title :
A Semantic-based Meteorology Grid Service Registry, Discovery and Composition Framework
Author :
Ren, Kaijun ; Xiao, Nong ; Song, Junqiang ; Zhang, Weimin ; Chen, Tao
Author_Institution :
Nat. Lab. for Parallel & Distrib. Process., NUDT, Changsha, China
Abstract :
Meteorology Grid Computing aims to provide scientist with seamless, reliable, secure and inexpensive access to meteorological resources. In this paper, we presented a semantic-based meteorology grid service registry, discovery and composition framework by combining grid technologies and the advantages of semantic web techniques. The main objective of the framework is to support automating the discovery, selection, and workflow composition of semantically described heterogeneous meteorological grid services, which offers the possibility of facilitating geographically distributed meteorological scientists to resolve complex scientific problems cooperately. With this framework, the key technologies such as semantic registry, semantic matchmaking, QoS ranking and composition model, will be discussed.
Keywords :
Web services; geophysics computing; grid computing; semantic Web; complex scientific problem; geographically distributed meteorological scientist; heterogeneous meteorological grid service selection; meteorological resource; meteorology grid computing; semantic Web; semantic-based meteorology grid service composition; semantic-based meteorology grid service discovery; semantic-based meteorology grid service registry; workflow composition;
Conference_Titel :
Semantics, Knowledge and Grid, 2006. SKG '06. Second International Conference on
Conference_Location :
Guilin
Print_ISBN :
0-7695-2673-X
DOI :
10.1109/SKG.2006.13