| 刘丽娜,蔡茜.基于生成式语义解耦的古籍视觉知识元重构与可信归档研究[J].数字图书馆论坛,2026,22(3):31~39 |
| 基于生成式语义解耦的古籍视觉知识元重构与可信归档研究 |
| Research on the Reconstruction and Trustworthy Archiving of Ancient Book Visual Knowledge Elements Based on Generative Semantic Decoupling |
| 投稿时间：2026-02-04 |
| DOI：10.3772/j.issn.1673–2286.2026.03.004 |
| 中文关键词: 视觉知识元；古籍数字化；生成式人工智能；语义解耦；OAIS；知识组织；数字人文 |
| 英文关键词: Visual Knowledge Unit; Ancient Book Digitization; GenAI; Semantic Decoupling; OAIS; Knowledge Organization; Digital Humanities |
| 基金项目:本研究得到2025年度江苏省图书馆学会一般课题“智慧图书馆的技术赋能与创新发展研究”（编号：25YB074）资助 |
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| 中文摘要: |
| 古籍数字化工作正向高质量、智能化方向转型，但现有以整页扫描件为基本管理单元的古籍数字化形态存在粒度错配、语义关联缺失、证据底本模糊等不足。生成式人工智能推动古籍图像处理从文字识别迈向语义理解与视觉重构，本研究据此提出视觉知识元概念并建立其形式化定义与分类体系。在视觉知识元理论基础上，进一步构建三层智能归档架构，使该架构与开放档案信息系统及中国行业标准进行对接，以实现证据不变、派生可控、过程可查的古籍数字化治理目标。本研究提出面向语义解耦的古籍视觉知识元重构工艺流程，并以南京图书馆馆藏为例开展场景应用与初步验证，为古籍资源从图像数字化走向语义数字化提供可落地的框架与路径。 |
| 英文摘要: |
| The digitization of ancient books is moving toward higher quality and intelligence. However, the current whole-page scan as the basic management unit suffers from granularity mismatch, weak semantic association, and ambiguous evidence provenance. Generative Artificial Intelligence is shifting ancient book image processing from text recognition toward semantic understanding and visual reconstruction. In response, this study introduces the concept of visual knowledge unit with its formal definition and classification. Based on visual knowledge unit theory, a three-layer intelligent archiving architecture is constructed and integrated with the Open Archival Information System and relevant Chinese industry standards, aiming to achieve immutable evidence, controllable derivation, and verifiable processes. This study further presents a reconstruction workflow for semantic decoupling, followed by application scenarios and preliminary validation using ancient books from the Nanjing Library collection. The work provides a practical framework and pathway for moving ancient book resources from image-based digitization to semantic digitization. |
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