Title :
Operational Data Store of Multi-Platform, Multi-Source, Multi-Scale, Multi-Temporal Data Sets
Author_Institution :
Fac. of Land Resoruce Eng., KunMing Univ. of Sci. & Technol., Kunming, China
Abstract :
With the development of geographic information technologies, large amount of data collected from satellite, airborne, and ground based imaging systems. Large amount of structured data and unstructured data come to TB level. Data organization, management and application became a geographic information bottleneck. In this paper, Operational Data Storage (ODS) of multi-platform, multi-source, multi-scale, multi-temporal image and data manipulation are studied. Through integrated planning, design massive GIS data storage structure, management tools and mechanisms for application service. Thinking of the data integration, data storage layer, data processing and data mart applications in terms of massive data, get the effective integration of multi-platform data, multi-source data, multiscale data, multi-temporal data, to provide efficient, accurate information services for application of geographic information. Studying spatial data conversion, data storage model, model of data services, designing Extract, Transformation and Loading (ETL) process for spatial data, a framework for spatial data ODS design be proposed, provide a base for further data mining and knowledge discovery in spatial data base available.
Keywords :
data conversion; data mining; geographic information systems; data integration; data management; data mart; data mining; data organization; data processing; data storage layer; data storage model; extract transformation and loading process; geographic information technologies; ground based imaging systems; knowledge discovery; operational data storage; spatial data conversion; unstructured data; Complexity theory; Data mining; Data models; Memory; Object oriented modeling; Shape; Spatial databases;
