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作 者:马东方 田总 欧阳明珠 史梦 郑文静 MA Dongfang;TIAN Zong;OUYANG Mingzhu;SHI Meng;ZHENG Wenjing(School of Management,Anhui University,Hefei,Anhui 230601)
出 处:《档案学刊》2024年第6期46-55,共10页Academic Journal of Archives
基 金:安徽大学创新创业训练项目“基于人工智能技术的档案数字化质量检测加工管理系统”(S202310357523)研究成果。
摘 要:文章对人工智能技术在档案数字化质检领域中的应用与研究现状进行了分析梳理,为人工智能技术应用于纸质档案数字化质检工作提出建议。从图像质检、目录著录和数据挂接与质检流程构建等多个业务场景出发,梳理总结人工智能技术在档案数字化质检工作中的发展与应用现状。基于纸质档案数字化质检工作流程,分析人工智能技术下的档案质检服务模型,并在此基础上提出优化措施,为档案数字化质检领域更加深入与广泛地应用人工智能技术提供参考。The article analyzes and reviews the current state of research and application of artificial intelligence(AI)technology in the field of quality inspection for digitization of records.It provides recommendations for the utilization of AI technology in the quality inspection of digitization of paper-based records to enhance the level of archival work.Starting from various business scenarios such as image quality inspection,cataloging,data linking,and quality inspection workflow construction,the article summarizes and reviews the development and application status of AI technology in quality inspection of digitization of paper-based records.Based on the workflow for the quality inspection of digitization of paper-based records,it analyzes the quality inspection service model under AI technology and proposes optimization measures,offering a reference for deeper and broader application of AI technology in the field of inspection of digitization of paper-based records.
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