Design and application of a semantic-driven geospatial modeling knowledge graph based on large language models
While leveraging large language models (LLMs) for intelligent geospatial modeling has garnered significant attention, the limited domain-specific knowledge of LLMs often leads to inefficient or unreliable geo-analysis model generation. Crowdsourced geoprocessing scripts encapsulate extensive expert...
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| Principais autores: | , , , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Taylor & Francis Group
2025-11-01
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| coleção: | Geo-spatial Information Science |
| Assuntos: | |
| Acesso em linha: | https://www.tandfonline.com/doi/10.1080/10095020.2025.2483884 |
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