我国智慧图书馆建设方法体系识别研究  

Research on the Identification of Methodological Systems for Construction of Smart Library in China

作　　者：吴丹[1] 杨馨梅 梁少博[1] 何丽英 Wu Dan;Yang Xinmei;Liang Shaobo;He Liying

机构地区：[1]武汉大学信息管理学院

出　　处：《国家图书馆学刊》2025年第1期68-78,共11页Journal of The National Library of China

基　　金：国家重点研发计划资助项目“智慧图书馆体系构建关键技术研发与应用示范”(项目编号:2023YFF0906800)研究成果。

摘　　要：在当前数字化、智能化快速发展的时代背景下,图书馆正积极面向用户需求进行智慧化转型升级。在智慧图书馆方法体系研究领域,国内学者围绕技术利用、平台研发、风险防治、模式探究等多方面进行了丰富探索,但目前对于方法体系的系统梳理与实践应用探析较少。本研究基于文献分析法,调研已有智慧图书馆方法体系研究内容框架,梳理方法体系关键要素及逻辑关系。综合智慧图书馆实践调研所发现的数据整合与挖掘、资源加工与知识发现、数据质量评估与处理规范问题,围绕数据知识语义融合与映射关联、AI赋能自动化处理与智慧交互、数据治理标准化控制与风险预警三方面,提出未来智慧图书馆发展趋势。图1。表2。参考文献38。Under the background of the rapid development of digitalisation and intelligence,libraries are actively facing the needs of users for intelligent transformation and upgrading.In the field of smart library methodology system research,domestic scholars are rich in exploration around the use of technology,platform research and development,risk prevention and control,mode exploration,but at present there are fewer systematic combing and practical application analyses of the methodology system.Based on the literature analysis method,this study investigates the content framework of existing smart library methodology system research,and sorts out the key elements of the methodology system and its logical relationship.Based on the problems of data integration and mining,resource processing and knowledge discovery,data quality assessment and processing standards found in the practical research of smart libraries,this paper puts forward the development trend of smart libraries in the future from three aspects:semantic integration and mapping association of data knowledge,AI-enabled automatic processing and intelligent interaction,standardized control of data governance and risk early warning.1 fig.2 tabs.38 refs.

关 键 词：智慧图书馆 方法体系 实践应用 

分 类 号：G250.7[文化科学—图书馆学] G259.2