Computational model of geospatial semantic similarity based on ontology structure

Geospatial semantic similarity can be applied in spatial query,data retrieval and database generalization,and it is important for geospatial domain.Based on the analysis of the existing methods on semantic similarity,this paper proposed a computational model of geospatial semantic similarity,which integrated the properties of concepts,structural index and Inheritance relationships.In this model,depth and density weights of geospatial ontologies are added so as to adjust the structural index.A case study was carried out on land use classification systems.The calculated results showed the validity and rationality of the computational model.