机器学习在档案管理中的应用与挑战——基于新南威尔士州档案馆机器学习实验的调查与启示

Application and Challenge of Machine Learning in Archives Management--Based on the Investigation and Enlightenment of Machine Learning Experiment in New South Wales Archives

文章解析了档案机构主导的机器学习应用于档案管理的实验项目,旨在充分认识机器学习应用的可行性以及应用逻辑与方法。基于对澳大利亚新南威尔士州机器学习实验的过程分析,发现充足且高质量的数据集、软硬件等基础设施及专业人才是机器学习技术成功应用的重要因素。因此,档案机构应用机器学习技术可从推进档案数据化进程、加强技术型人才储备、立足档案管理实践制定应用方案等方向探索。

The article analyzes an experimental project led by an archival institution on the application of machine learning to archival management with the aim of fully understanding the feasibility of machine learning applications and the logic and methods of application.Based on the process analysis of machine learning experiments in New South Wales,Australia,it was found that adequate and high-quality datasets,infrastructure such as hardware and software,and professional talents are important elements for the successful application of machine learning technology.Therefore,the application of machine learning technology by archival institutions can be explored in the direction of promoting the process of archival data,strengthening the reserve of technologyoriented talents,and formulating application solutions based on archival management practices.