Study on Spatiotemporal Knowledge Graph of Emergency Scenarios

Abstract

The emergency scenario is a frontier scientific issue in emergency research; it contains various information types and has complex internal logic. In order to solve the problem of lacking a structured expression method for analyzing scenarios, this paper utilizes a spatiotemporal knowledge graph to express complex knowledge while embedding temporal and spatial information into emergency scenarios, transforming traditional static information into entities, attributes, and relationships with dynamic characteristics, and realizing qualitative and quantitative analysis of scenarios from document to data level by constructing pattern layer and data layer. Furthermore, this paper introduces a case study, demonstrating that emergency scenario analysis based on a spatiotemporal knowledge graph provides a scalable path to analyze and define scenarios while enabling qualitative and quantitative presentation of the entire development process.