A Data Warehouse architecture for integrating field-based data

被引：0

作者：

Salguero, Alberto ^{[1
]}

Araque, Francisco ^{[1
]}

Carrasco, Ramon ^{[1
]}

机构：

[1] Univ Granada Andalucia, Dpt LSI ETSII, Granada, Spain

来源：

ICEIS 2007: PROCEEDINGS OF THE NINTH INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS: DATABASES AND INFORMATION SYSTEMS INTEGRATION | 2007年

关键词：

Spatial Data Warehouse; extraction; field-based data;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Spatial Data Warehouses (SDWs) combine DWs and Spatial Data Bases (SDBs) for managing significant amounts of historical data that include spatial location. Some spatial information can be seen as a continuous field, and the information of interest is obtained at each point of a space. The previously proposed extensions of the multidimensional data model, used in Data Warehousing, only deal with spatial objects. None of them consider field-based information. This paper presents a Data Warehouse architecture that automatically determines the best parameters for refreshing and integrating field-based data from different data sources.

引用

页码：577 / 580

页数：4