GRASP: Graph-Enhanced Retrieval for Accurate Schema Pruning in Text-to-SQL

Recent advances in land system research depend heavily on efficient access to large-scale, multi-source remote sensing spatiotemporal databases. Although Text-to-SQL provides natural language interfaces, the scale and spatial complexity of remote sensing schemas generate significant noise for large...

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書誌詳細

主要な著者:	Xiangjun Cheng, Hongmei Zhang, Chao Li, Sining Xu
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2026-06-01
シリーズ:	ISPRS International Journal of Geo-Information
主題:	spatiotemporal big data remote sensing information system Text-to-SQL large language models schema pruning natural language interfaces to databases
オンライン･アクセス:	https://www.mdpi.com/2220-9964/15/6/248
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