Research on the Construction and Application of the Knowledge Graph of Qin Dynasty Historical Celebrities' Deeds by Spatio-Temporal Integration

[Objective] Construct a spatial and temporal integration of the Qin Dynasty historical celebrities knowledge map, in order to lay the foundation for information retrieval and visualization when customers learn the Qin Dynasty historical knowledge. [Methods] We use the “seven-step method” and the Protégé tool to construct the ontology model of the Qin Dynasty historical celebrities with spatial and temporal correlation from the top down, and then construct the spatial and temporal fusion knowledge map instance through knowledge extraction, attribute fusion and knowledge storage, and finally implant the model into the network, so that we can provide the users with an accurate, intuitive, high-capacity, fast, and in-depth spatial and temporal correlation historical knowledge map. Finally, the model is implanted into the network to provide users with accurate, intuitive, high-capacity, fast, and deeply spatio-temporally related popularization services. [Results] The constructed knowledge graph is stored and visualized by Neo4j, supports Cypher language for knowledge query, and realizes accurate promotion in three ways: webpage, SVG vector image of knowledge graph, and short video. [Limitations] As the historical knowledge is more cumbersome, data acquisition takes a long time while ensuring correctness. [Conclusion] Compared with traditional knowledge mapping, knowledge mapping based on spatio-temporal fusion integrates the spatio-temporal factors associated with events into the model, and the events shown in the mapping are more abundant, so that the users can understand the events and their spatio-temporal backgrounds clearly, accurately, intuitively, and quickly through various network terminals, and it is more efficient and more acceptable than the traditional popularization methods.