AI助力档案管理，提升数据检索与流程效率
AI in Archival Science -- A Systematic Review
- 系统梳理AI在档案科学中的应用方法与技术
- 发现AI可显著提升档案管理与数据检索效率
- 适合关注数字档案、智能管理的研究者
档案记录的快速增长带来了保管、鉴定与组织等方面的巨大挑战。本研究系统分析了人工智能（AI）在档案科学领域的应用现状，识别出应对这些挑战所采用的技术。研究结果表明，基于AI的关键策略有望优化档案管理流程并提升数据检索效率。同时，本文详细呈现了评审过程，确保方法透明。该综述不仅总结了当前AI在档案管理中的实践进展，也为未来融合新技术、推动档案工作变革奠定了基础。研究强调了人工智能与档案科学之间加强协作的必要性。
原文摘要 · Abstract (English)
The rapid expansion of records creates significant challenges in management, including retention and disposition, appraisal, and organization. Our study underscores the benefits of integrating artificial intelligence (AI) within the broad realm of archival science. In this work, we start by performing a thorough analysis to understand the current use of AI in this area and identify the techniques employed to address challenges. Subsequently, we document the results of our review according to specific criteria. Our findings highlight key AI driven strategies that promise to streamline record-keeping processes and enhance data retrieval efficiency. We also demonstrate our review process to ensure transparency regarding our methodology. Furthermore, this review not only outlines the current state of AI in archival science and records management but also lays the groundwork for integrating new techniques to transform archival practices. Our research emphasizes the necessity for enhanced collaboration between the disciplines of artificial intelligence and archival science.
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