摘要
本文探讨了人工智能生成式档案数据大脑的概念、特点及其在档案管理中的应用潜力。基于生成式人工智能技术的创新,档案数据大脑突破了传统档案数据的利用模式,能够实现档案数据的深度挖掘、新内容生成、多模态融合与智能预测。文章从系统特点、作用、外化表现、回路构建与细胞培养五个方面,系统阐述了人工智能生成式档案数据大脑的构建逻辑与核心功能。研究表明,该技术不仅提升了档案数据在治理与应急决策中的服务能力,还推动了档案管理模式的智能化转型,具有显著的实践价值和理论意义。
This paper explores the concept and characteristics of an AI-generated archival data brain and its potential applications in archival management.Based on the innovation of generative artificial intelligence technology,the archival data brain has broken through the traditional utilization mode of archival data and can achieve in-depth mining of archival data,new content generation,multimodal integration,and intelligent prediction.The article systematically elaborates on the construction logic and core functions of the generative archival data brain from five aspects:system characteristics,functions,externalization performance,circuit construction,and cell cultivation.The research shows that this technology not only enhances the service capacity of archival data in governance and emergency decision-making but also promotes the intelligent transformation of archival management models,demonstrating significant practical value and theoretical signi ficance.
出处
《档案管理》
北大核心
2025年第4期52-57,共6页
Archives Management
基金
2024年国家社会科学基金年度一般项目“面向数字孪生建造的工程档案数据管理体系构建研究”(项目批准号:24BTQ017)的阶段性研究成果。
关键词
生成式人工智能
档案数据大脑
数据能力建设
智能预测
档案数据治理
知识图谱
Generative artificial intelligence
Archival data brain
Data capability building
Intelligent prediction
Archival data governance
Knowledge graph
