Title :
GeoExpert A Framework for Data Quality in Spatial Databases
Author :
Tadakaluru, Aditya ; Mostafa, Mostafa ; Andrew, Karla ; Ernest, Andrew
Author_Institution :
Dept. of Comput. Sci., Western Kentucky Univ., Bowling Green, KY
Abstract :
Usage of very large sets of historical spatial data in knowledge discovery process became a common trend and in order to obtain better results from this knowledge discovery process the data should be of high quality. We proposed a framework for data quality assessment and cleansing tool for spatial data that integrates the spatial data visualization and analysis capabilities of the ARCGIS engine, the reason and inference capability of an expert system. In this paper, we explain the core architecture of the framework and also the functionality of each module in the framework. We explain the implementation details of the framework
Keywords :
data mining; data visualisation; expert systems; geographic information systems; very large databases; visual databases; ARCGIS engine; GeoExpert framework; expert system; knowledge discovery process; spatial data quality assessment; spatial data visualization; spatial database; Computer science; Data analysis; Data visualization; Engines; Expert systems; Geographic Information Systems; Quality assessment; Sediments; Spatial databases; Water resources;
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7695-2504-0
DOI :
10.1109/CIMCA.2005.1631527