Geo-CLASS: Knowledge from Earth Engine Scripts
A pipeline that coordinates large and small language models to extract reusable geoprocessing modelling knowledge from crowdsourced Google Earth Engine scripts.
A pipeline that coordinates large and small language models to extract reusable geoprocessing modelling knowledge from crowdsourced Google Earth Engine scripts.
Designs a geospatial modeling knowledge graph whose entities and relations are extracted with LLMs, supporting semantic retrieval and recommendation of modeling knowledge.
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 …
Mines operator call relationships from Earth Engine scripts with syntax-tree parsing and frequent-pattern analysis, forming a knowledge base that improves LLM code generation.
Recognises users' map retrieval intentions from relevance feedback, with geographic ontologies guiding intention inference and its iterative updates.
A GPT-assisted workflow that extracts structured knowledge about geographic analysis models from Google Earth Engine scripts and reuses it to support model construction.