Towards a Spatial Knowledge Mesh: A Metamodel for Federated and Interoperable Spatial Knowledge Graphs to Enable Geospatial Awareness, Integrity, Provenance, and Trust in Large Language Models
Abstract. Large language models (LLMs) have the potential to make geospatial decision support more accessible to non-technical users and under-resourced settings in public health, disaster response, and infrastructure planning. Compared with traditional geospatial workflows requiring specialized expertise, manual data...