古籍创造性转化的研究与实践述评
A Review of Research and Practice on the Creative Transformation of Ancient Chinese Books
摘要
[目的] 梳理古籍创造性转化的研究与实践进展，厘清其概念脉络与实现路径，为新时代古籍工作提供参考。[方法] 采用文献调研与案例分析方法，系统梳理2022年以来的政策文件、学术文献与业界实践。[结果] 古籍创造性转化是“古籍转化”“古籍活化”等概念的延续与拓展。其实现路径可归纳为古籍整理出版、古籍改编、古籍数字化、古籍知识化、古籍文创、古籍资产化与古籍阅读推广七种，分属“价值内涵”与“表现形式”两类，并在阅读推广环节汇合。以大语言模型为代表的人工智能技术正在重塑整理、数字化与知识化路径；数字藏品热潮退去后，古籍资产化正转向数据资源化。当前工作仍存在价值内涵挖掘不足、可复制模式缺乏、复合型人才短缺与技术应用风险等问题。[局限] 本文以国内研究与实践为主，未系统比较国外经验，对转化成效也缺乏定量评估。[结论] 应深化理论研究、推动多主体融合发展、加强复合型人才队伍建设，并完善人工智能应用与古籍数据治理的规范。
Abstract
[Objective] This paper reviews research and practice on the creative transformation of ancient Chinese books, clarifies how the concept has evolved and how it is realized, and offers suggestions for ancient book work in the new era.[Methods] Using literature review and case analysis, it examines policy documents, scholarly publications and practical initiatives since 2022.[Results] The creative transformation of ancient books continues and extends the earlier concepts of "transformation" and "activation" of ancient books. It is realized through seven paths: collation and publication, adaptation, digitization, knowledge organization, cultural and creative products, assetization, and reading promotion. These fall into two categories, focusing on value and content or on forms of presentation, and converge in reading promotion. Artificial intelligence, represented by large language models, is reshaping collation, digitization and knowledge organization, while assetization is shifting from digital collectibles to data resources. Problems remain: insufficient exploration of value and content, a lack of replicable models, a shortage of interdisciplinary talent, and risks in the use of new technologies.[Limitations] The review focuses on China, does not systematically compare experience abroad, and does not quantitatively assess the effects of transformation.[Conclusions] Theoretical research should be deepened, collaboration among multiple actors promoted, interdisciplinary talent cultivated, and norms for AI applications and ancient book data governance improved.关键词
古籍创造性转化/古籍活化/古籍开发利用/古籍数字化/人工智能Key words
creative transformation of ancient books/activation of ancient books/development and utilization of ancient books/digitization of ancient books/artificial intelligence引用本文复制引用
张麒麟.古籍创造性转化的研究与实践述评[EB/OL].(2026-10-30)[2026-11-02].https://chinaxiv.org/abs/202610.00230.学科分类
文化事业
