Heterogeneous spatial data mining based on grid

被引:0
作者
Wang, Yong [1 ]
Wu, Xincai [1 ]
机构
[1] China Univ Geosci, Fac Informat & Engn, Wuhan 430074, Peoples R China
来源
ADVANCES IN COMPUTATION AND INTELLIGENCE, PROCEEDINGS | 2007年 / 4683卷
关键词
data mining; grid services; knowledge grid; spatial data;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The continuous increase of spatial data volumes available from many sources raises new challenges for their effective understanding. Spatial knowledge discovery in spatial data repositories involves processes and activities that are heterogeneous, collaborative, and distributed in nature. The Grid is a profitable infrastructure that can be effectively exploited for handling distributed spatial data mining and knowledge discovery. We design a new architecture of spatial knowledge grid, which is on top of computational grid mechanisms. The spatial knowledge grid is a high-level framework providing Grid-based knowledge discovery tools and services. All of these services are currently being designed and implemented as Grid Services. This paper highlights design aspects and implementation of spatial knowledge grid services.
引用
收藏
页码:503 / +
页数:2
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