Geospatial Knowledge Graphs

Abstract

Geospatial knowledge graphs have emerged as a novel paradigm for representing and reasoning over geospatial information. In this framework, entities such as places, people, events, and observations are depicted as nodes, while their relationships are represented as edges. This graph‐based data format lays the foundation for creating a “FAIR” (Findable, Accessible, Interoperable, and Reusable) environment, facilitating the management and analysis of geographic information. Key concepts in knowledge graphs along with their associated standardization and tools are introduced. Their application in geography and environmental sciences is emphasized by their role in bridging symbolic and subsymbolic GeoAI to address cross‐disciplinary geospatial challenges. New research directions related to geospatial knowledge graphs are outlined.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 4 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.