An Ontology Matching Method for GML Application Ontology to GeoSPARQL Ontology

Because of the GML specification's widely use, GML application semantic data provides massive, rich geographic semantic data for semantic web, standardized and consistent semantic query has become the key point of intelligent application for GML application semantic data. GeoSPARQL standard proposed by OGC can make consistent representation and query for heterogeneous, incompatible geographic semantic data, so it can be used as a base for consistency semantic query. This paper firstly uses ontology construction and ontology matching technology to map GML application ontology and GeoSPARQL ontology. Secondly, reasoning technology and semantic reasoning engine are used to realize a consistency semantic query experiment based on GeoSPARQL standard. The query experiment shows that this method is effective and feasible, and has a certain universal.