Map Retrieval Intention Recognition with Geographic Semantics

publications

Recognises users’ map retrieval intentions from relevance feedback, with geographic ontologies guiding intention inference and its iterative updates.

Citation
Gui Z., Liu X., Zhao A., et al. (2024). Map retrieval intention recognition based on relevance feedback and geographic semantic guidance. Information Processing & Management, 61(4), 103767. doi:10.1016/j.ipm.2024.103767

Cover figure: Map retrieval workflow enhanced by intention recognition. From Gui et al. (2024), Information Processing & Management.

Knowledge Graphs Spatial Data
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.