数字图书馆论坛2026，Vol.22Issue(2)：11-21,11.DOI:10.3772/j.issn.1673-2286.2026.02.002
AI赋能高校图书馆特藏资源元数据生成的实践与启示
A Case-Based Study on the Use of AI-Generated Metadata in Academic Library Special Collections
摘要
Abstract
This study investigates and analyzes practical cases in which academic libraries apply artificial intelligence technologies to generate metadata for special collections,aiming to provide insights for advancing special collections development in academic libraries Through a literature review and web-based investigation,21 representative cases from Chinese and international academic libraries were analyzed across multiple dimensions,including types of special collections,metadata generation workflows,AI technologies and tools,metadata content,as well as outcomes and challenges.The study recommends that academic libraries adapt AI technology pathways based on resource characteristics and service scenarios,select AI tools with a focus on technical performance,and strengthen supporting institutional frameworks covering quality assurance,copyright compliance,and ethical governance,in order to advance AI-enabled metadata generation for special collections.关键词
人工智能/元数据/高校图书馆/特藏资源/资源建设Key words
Artificial Intelligence/Metadata/Academic Library/Special Collections/Collection Development分类
社会科学引用本文复制引用
陈若韵,张谙宁,张欢庆,周丹燕,张倩,周文琦..AI赋能高校图书馆特藏资源元数据生成的实践与启示[J].数字图书馆论坛,2026,22(2):11-21,11.基金项目
本研究得到高校图书馆数字资源采购联盟(DRAA)研究项目"学术资源库创新发展"(编号:2025DRAA12)资助. （DRAA）
