From Data to Insights : Constructing Spatiotemporal Knowledge Graphs for City Resilience Use Cases

Abstract

Data integration plays a crucial role in crisis management and city resilience use cases by enabling the consolidation of information from scattered sources into a unified view, thereby allowing decisionmakers to gain a more complete and accurate understanding of the situation at hand. In this paper, we introduce the CRISP Knowledge Graph, constructed from various data resources to present a uniform view of infrastructure networks and services pertinent to crisis management to enable informed and targeted interventions to address crises management use cases. We provide a brief explanation of the semantic model and its significance in building a comprehensive knowledge graph and then outline our approach for incorporating some large spatiotemporal datasets into this framework, considering the unique challenges that arise in this process.