Spatiotemporal Knowledge Graph Modeling and Persistence Supported by Database
Chaojie Zhang, Bingyan Chen, Xin Wang · 2024
With the rapid development of the aviation industry, the spatiotemporal data in the semantic Web is increasing. The concept of spatiotemporal knowledge graph has been popularized. How to represent and manage spatiotemporal knowledge graph efficiently has become an important topic. In traditional knowledge graph modeling research, RDF is usually used to represent and describe the relationships between resource entities. Although the classic RDF model is widely used in traditional knowledge graph modeling, it can only represent static semantics and cannot effectively represent the spatiotemporal semantics of dynamic knowledge graphs. Therefore, in this paper, we extend the classic RDF and propose a new spatiotemporal RDF model, stRDF. On this basis, a storage method of spatiotemporal knowledge graph based on the graph database Neo4j is further proposed. Effectively solves the persistence management of spatiotemporal knowledge graph supported by database.