人工智能助力多模态档案资源开发的实现路径  

Implementation Paths for AI-Assisted Development of Multimodal Archival Resources

作　　者：王译婧 徐海静[1] WANG Yijing;XU Haijing(School of Information Management,Heilongjiang University,Harbin 150080)

机构地区：[1]黑龙江大学信息管理学院,哈尔滨150080

出　　处：《山西档案》2025年第4期120-126,137,共8页Shanxi Archives

基　　金：黑龙江大学2024年度国家级大学生创新训练计划项目“人工智能视域下多模态档案资源创新融合开发模式研究”(202410212023)。

摘　　要：多模态档案资源的集成式立体化开发能为数据要素价值的发挥和新质生产力的发展注入强大动力,但其面临规模体量庞大、质量参差不齐、模态对齐困难的开发瓶颈。人工智能具备处理海量档案资源、改善档案质量、处理多模态数据的优势,通过把握多模态档案资源的数据化、质量优化和关联融合等关键环节,借鉴博物馆、出版行业范例,提出人工智能在多模态档案资源开发中的应用场景。The integrated and multidimensional development of multimodal archival resources can inject significant momentum into the realization of data element value and the advancement of new quality productive forces.However,it faces bottlenecks such as large scale,uneven qualityand difficulties in modal alignment.Artificial intelligence offers advantages in processing vast archival resources,improving archival quality and handling multimodal data.By focusing on key aspects such as datafication,quality optimization and content integration of multimodal archival resources,this study draws lessons from examples in museums and the publishing industry,proposing various application scenarios for AI in the development of multimodal archival resources.

关 键 词：人工智能 多模态 档案资源 档案开发 

分 类 号：G270[文化科学—档案学]