Research On Identical Feature Matching Based On GIS Ontology

To fully verify the use situation of national land, to grasp the true and accurate land base data in time, to establish and improve the land statistics and registration systems, to socialize the information society services of the Land Resource Information Data, to meet the needs of land and resource management as well as economic and social development, we often need to integrate and update the land data at any time in practice. However, land data and the geographic information system data were so different with the general library management system data and student selection system data. Geographic information system data needs to include spatial relations, property relations and the relationship between the times, so it is more complicated than other data in the process of integration.At present, geospatial data integration and updating of geographical information system has become an international frontier of science topics. In the process of updating the data, we often use new geospatial data to update the old geographical data. In the process of the integration and update of the geospatial data, identical entity matching technology plays a very important role. Matching results will directly affect the quality of data integration and updated results. The main task of the same name identical entity matching technology is matching the spatial data sets. Different spatial data sets can be integrated and updated through finding the matching target entity. At present, the world has proposed many kinds of corresponding entities matching methods. However, these methods have some shortcomings and the insufficiency to some extent. In this paper, by using the advantage of ontology in semantic matching, the ontology is added to corresponding entities matching process. In the process of building ontology, joining the spatial relationships of spatial data, and adding the standard way of layered joined the ontology construction process could successfully solve the problem of the semantic heterogeneous spatial data. Through the study of the theory of the same name identical entity matching technology, the same name identical entity matching technology is discussed. The main innovation and results are as follows:1) Discussed the characteristics of spatial data, the diversity of spatial data sources, study the definition of the same name identical entity matching technology and the matching process of the same name identical entity matching technology.2) Studied the spatial characteristics of geographic ontology, joined the spatial characteristics in the process of construct the geographic ontology, and used the geographic ontology in the same name identical entity matching technology.3) The conventional feature matching technology is to remove the inconsistency of the border according to the principle of high precision only after simple superposition, which often causes date foundation inconsistent and eventually leads to error of feature matching. In order to overcome the drawback of the conventional feature matching technology, this paper proposed a method to perform feature matching through similar degree of attribute, based on geographic ontology construction and ontology attribute encapsulation. This method not only has preferable matching, but also improves retrieval efficiency, facilitates data management and achieves data sharing.