Study on the method of cartographic visualization quality automated testing

For a long time, cartographers pay more attention to the quality control at the aspects of accuracy, logical consistency and completeness of cartographic geometry data. However, they ignored the theory and the research on the method of quality control at the aspects of aesthetics and visibility of map. For further research and application, the paper studies on the representation method of the cartographic knowledge based on RuleML and rules technology based on NXBRE forming the research on the method of cartographic visualization quality automated testing. The batch testing on pieces of maps shows that errors or omissions do not exist and the test result consistent with the actual situation.