关键词: 数字资源, 长期保存, 人工智能, 机器学习, 数字档案

Abstract: [Purpose/Significance] In order to promote the application and practice of intelligent technology in the field of long-term preservation of digital resources, realize the deep processing and exploration of information, further promote the high-quality development of long-term digital resources preservation, this paper explores the organic combination of artificial intelligence with long-term preservation of digital resources.[Design/Methodology] This paper investigates the current research progress of long-term preservation institutions both at home and abroad. It sorts out the application scenarios of artificial intelligence in the field of long-term preservation of digital resources based on the division of functional modules of OAIS model, and subsequently analyzes the research status and existing problems on this basis. [Findings/Conclusion] The study finds that current AI technologies has been essentially applied in the core functionalities of preservation workflows. Their further development promises to a comprehensive transformation for long-term preservation. However, there remain challenges such as technical risks, incomplete understanding, and a lack of comprehensive solutions. To ensure the sustainable development of long-term preservation of digital resources while upholding their inherent characteristics, it is imperative to seize emerging technological opportunities and actively seek viable solutions in long-term preservation of digital resources. [Originality/Value] This study systematically reviews the application of artificial intelligence in long-term digital resources preservation, encompassing the entire process of preservation. It outlines the characteristics and patterns of artificial intelligence applications in long-term preservation work both domestically and internationally, and establishes an implementation framework for preservation strategies.

Keywords: Digital resources, Long-term preservation, Artificial Intelligence, Machine learning, Digital archives