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説明:

We developed two LLM-assisted tools to accelerate data collection from materials science publications for the Starrydata database. The first tool, Starrydata Auto-Suggestion, generates concise English descriptions from abstracts and methods that conform to our database schema, integrated into the Starrydata2 platform using lightweight models. The second tool is a dual-component system: Auto-Summary GPT processes PDF files to generate comprehensive JSON output capturing all figures, tables, and samples, while Auto-Summary Viewer transforms this into interactive tables for efficient curator review. These tools enhance curation efficiency and advance automated scientific database construction.

権利情報:

• Creative Commons BY Attribution 4.0 International
  

キーワード: Materials informatics, materials database, data curation, literature data mining, automated data extraction, automated knowledge extraction, large language model

刊行年月日: 2025-12-31

出版者: Informa UK Limited

掲載誌:

• Science and Technology of Advanced Materials: Methods (ISSN: 27660400) vol. 5 issue. 1 2590811

研究助成金:

• JST-CREST Grant JPMJCR19J1
• Kazuchika Okura Memorial Foundation

原稿種別: 出版者版 (Version of record)

MDR DOI:

公開URL: https://doi.org/10.1080/27660400.2025.2590811

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更新時刻: 2026-01-20 09:35:27 +0900

MDRでの公開時刻: 2026-01-20 12:23:04 +0900