Abstract: In order to map the semantic heterogeneity among the spatial features, and implement the integration of spatial data, we presented a method of building ontology and applied an algorithm to map the semantic of spatial features between the charts and topographic maps. In the process of ontology construction, we established the concepts trees of domain ontology as well as the rule constraint among the concepts by manually, and automatically extracted the application ontology from the spatial features. For the semantic mapping among the spatial features, we proposed a semantic mapping algorithm based on concept depth constraint on rules and edit distance. The algorithm calculated the spatial features similarity by means of the method of semantic and syntax from both charts and topographic maps, and covered the shortage of which the HowNet only calculated concepts similarity not an instance. Finally, an example to validate has been given. It is tested that the proposed method of ontology construction and ontology mapping algorithm has superior usability, could achieve dynamic association on the level of ontology among the spatial features, and provided a new approach for spatial data integration from the different domain.