GeoAutoModuler: a knowledge–enhanced large language model for heterogeneous geospatial code understanding and knowledge extraction

In the era of geospatial big data, massive geospatial modeling scripts have accumulated across the Internet and have become essential carriers of modeling knowledge. However, these scripts are often unstructured and heterogeneous in terms of semantics and logic, making their embedded knowledge diffi...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Jianyuan Liang, Shuyang Hou, Wenjie Chen, Yaxian Qing, Xiaopu Zhang, Ziqi Liu, Haoyue Jiao, Longgang Xiang, Huayi Wu
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	Taylor & Francis Group 2026-07-01
سلاسل:	Big Earth Data
الموضوعات:	Knowledge extraction semantic interpretation geospatial code understanding domain-adapted LLM modeling workflow knowledge
الوصول للمادة أونلاين:	https://www.tandfonline.com/doi/10.1080/20964471.2026.2689760
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!