电子文件智能归档系统设计实现的演进逻辑与优化策略
胡文学 1丁海斌 2赵婧尧 3罗夏钻 4颜晗5
作者信息
- 1. 广西新祥高速公路有限公司
- 2. 广西民族大学管理学院
- 3. 齐鲁理工学院
- 4. 广西民族大学科技史与科技文化研究院
- 5. 武汉大学信息管理学院
- 折叠
摘要
伴随档案信息化进程的发展,电子文件智能归档问题的研究逐渐成为我国档案学者们近年来关注的焦点之一.智能归档不仅需要明确归档范围作为制度保障,还需要文本、图像等相似度算法比对原理和机器学习算法等人工智能技术的支持.本文中所介绍的系统通过对拟归档文件进行智慧排查,经过系统内置清单、系统比对、四性检测合格后智能形成元数据,最终向档案管理部门办理移交.智能归档与一般电子文件归档方式相比,具有智能化、自动化、一体化、网络化等特点.
Abstract
With the development of archival informatization,the research on intelligent archiving of electronic documents has gradually become one of the focuses of attention for archival scholars in China in recent years.Intelligent archiving not only requires a clear scope of archiving as a guarantee for the system,but also requires the support of artificial intelligence technologies such as text and image similarity algorithm comparison principles and machine learning algorithms.The system introduced in this article intelligently checks the files to be archived,and after passing the built-in list,system comparison,and four quality tests,intelligently forms metadata,which is ultimately handed over to the Archives management department.Compared with general electronic document archiving methods,intelligent archiving has the characteristics of intelligence,automation,integration,and networking.
关键词
电子文件/归档/智能归档/文本相似度算法/人工智能/机器学习/四性检测/元数据Key words
Electronic documents/Archive/Intelligent archiving/Text similarity algorithm/Artificial intelligence/Machine learning/Four quality tests/Metadata引用本文复制引用
基金项目
2021年度国家档案局科技项目(2021-X-04)
出版年
2024
NETL
NSTL
万方数据