GeoDescriber x GeoLLM : Faire parler la donnée énergétique
Abstract
The GeoDescriber x GeoLLM project makes local energy data more understandable for communities. GeoDescriber automatically generates descriptive texts from territorial data, which GeoLLM then reformulates to enhance fluency and readability. This hybrid approach combines analytical rigor with editorial quality, making technical data intelligible for local stakeholders and showcasing the potential of language models to support the energy transition.
Fields of Study & Subjects
Topic Modeling
Geographic Information Systems Studies
Semantic Web and Ontologies
Publication details
- Journal / source
- HAL
- Volume
- Extraction et Gestion des Connaissances
- Issue
- RNTI-E-42
- Pages
- 529–536
- Publication date
- 27 January 2026
- Language
- FR