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
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