Geo-FuB: Operator-Function Knowledge Base for Geospatial Code

publications

Builds an operator-function knowledge base from Earth Engine scripts, linking operators to the functions they serve, and uses it as retrieval context for geospatial code generation with LLMs.

Citation
Hou S., Zhao A., Liang J., Shen Z., Wu H. (2025). Geo-FuB: constructing an operator-function knowledge base for geospatial code generation with large language models. Knowledge-Based Systems, 319, 113624. doi:10.1016/j.knosys.2025.113624

Cover figure: Workflow of the Geo-FuB framework construction. From Hou et al. (2025), Knowledge-Based Systems.

LLM Knowledge Graphs
Anqi Zhao
Authors
Anqi Zhao
PhD Student in Geospatial AI
I am a PhD student at the Chair of Cartography and Visual Analytics at the Technical University of Munich, supervised by Prof. Liqiu Meng and mentored by Prof. Yu Feng. I came to AI from maps. I studied geodesy, cartography and GIS at Wuhan University, where I first used language models to make sense of geospatial code, and I now spend most of my time on the AI side of GeoAI. Besides research, I supervise Master’s students and maintain open learning resources on LLM agents and web scraping.