Morphology-Ontology of Geospatial Data and its Application in Data Discovery

Semantic heterogeneity of geospatial data is the main bottleneck for implementing linked data, intelligent recommendation and accurate discovery of data. The ontology theory is an effective way to solve the semantic heterogeneity of data. Morphological Characteristics is the important research content of Semantic heterogeneity of data. This paper mainly studies morphological characteristics of geospatial data, analyzes its concept, attribute, and relation, and puts forward its concepts system. On this basis, this paper builds the model of Morphology-Ontology of geospatial data and defines the method of formalization representation of morphological information. In the last part, this paper constructs Morphology-Ontology and applies it to the retrieval of metadata of the Data Sharing Infrastructure of Earth System Science. Verification tests show that Morphology-Ontology of geospatial data can solve the semantic heterogeneity of data effectively and improve the precision and recall of the result of data discovery significantly. The research methods and results of this paper are of great reference value to solve the semantic heterogeneity of data in other fields.