| 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 |
| 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 |
| 投稿时间：2026-01-12 |
| DOI：10.3772/j.issn .1673-2286.2026.02.002 |
| 中文关键词: 人工智能；元数据；高校图书馆；特藏资源；资源建设 |
| 英文关键词: Artificial Intelligence; Metadata;Academic Library; Special Collections; Collection Development |
| 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。 |
| 作者 | 单位 | | 陈若韵 | 深圳大学图书馆 | | 张谙宁 | 深圳大学图书馆 | | 张欢庆 | 深圳大学图书馆 | | 周丹燕 | 深圳大学图书馆 | | 张倩 | 深圳大学图书馆 | | 周文琦 | 深圳大学图书馆 |
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| 摘要点击次数: 14 |
| 全文下载次数: 21 |
| 中文摘要: |
| 调查分析国内外高校图书馆应用人工智能（Artificial Intelligence，AI）生成特藏资源元数据的实践案例，为高校图书馆推进特藏资源建设提供借鉴。本研究通过文献和网络调研，从特藏资源类型、元数据生成流程、AI工具、元数据内容以及成效挑战等方面分析21个国内外高校图书馆的典型案例。建议高校图书馆基于资源特性和服务场景来适配AI应用路径、依据技术效能选取AI工具，完善质量保障、版权合规与伦理治理等配套制度，推动AI赋能特藏资源元数据生成实践
。 |
| 英文摘要: |
| 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. |
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