Construction of Spatiotemporal Knowledge Graph for Emergency Decision Making

Abstract

Disaster emergency decision-making often involves a large amount of spatiotemporal information, and current emergency spatiotemporal analysis methods are often difficult to associate incidents, features and related knowledge at the same time. At present, the research on the temporal and spatial semantics of the knowledge graph has not been combined with the emergency field. This paper proposes to use spatiotemporal knowledge graph as an information management framework, construct conceptual and instance levels for emergency decision-making, define knowledge graph data model at the conceptual level; preprocess multi-source data at the instance level and map it into the content of the knowledge graph, and further Use SWRL to effectively extend OWL semantics and realize rule representation. Finally, this article uses several SPARQL query cases to illustrate how to obtain the required knowledge from the knowledge graph, so as to realize the intelligent service of emergency decision-making.