A Heterogeneous Geospatial Data Retrieval Method Using Knowledge Graph

Information resources have increased rapidly in the big data era. Geospatial plays an indispensable role spatially informed analyses, while different areas are relatively isolated. Therefore, it is inadequate to use relational handling many semantic intricacies and retrieving geospatial data. In light of this, a heterogeneous retrieval method based on knowledge graph proposed this paper. There three advantages method: (1) considered; (2) more information required by users could be obtained; (3) speed can improved. Firstly, implicit studied applied construct graph, integrating semantics multi-source Then, query expansion rules mappings between database designed statements obtain related spatial entities. Finally, effectiveness efficiency verified through comparative analysis practices. The experiment indicates that automatically retrieve relevant Additionally, reduce dependence storage mode Structured Query Language syntax. This paper would facilitate sharing outreach for various studies.