AI 2.0时代地市级图书馆古籍网格化管理研究  

Research on grid management of ancient books in prefecture-level libraries in AI 2.0 era

在线阅读下载全文

作  者:侯向辉 HOU Xianghui(Taian Library,Tai'an,Shandong 271000,China)

机构地区:[1]泰安市图书馆,山东泰安271000

出  处:《计算机应用文摘》2023年第13期110-112,115,共4页Chinese Journal of Computer Application

摘  要:在普通文献资源日益同质化的今天,稀有且价值较高的古籍越来越受到图书馆的重视。作为中华民族宝贵的精神财富,古籍兼具文献、档案、文物等多重属性。兼顾“藏”与“用”,一直是古籍保护工作的重点,随着数字化技术的发展,古籍数字化很好地解决了古籍保护和利用之间的矛盾,但是现在主流的古籍数字化技术是微缩胶片技术,该技术虽能延长古籍的保护年限,但是分辨率较低且不易查询。而AI技术的发展,对古籍数据的整理工作提供了新的思路。基于此,文章以AI2.0时代为背景,对地市级图书馆中的古籍管理进行了相关探究,并以网格化管理为视角对当前地市级图书馆应用AI大数据管理的优势进行了探讨,从而得出地市级图书馆古籍应用AI大数据管理的优势,以及管理中需要关注的问题。In today’s society where ordinary literature resources are becoming increasingly homogeneous,rare and valuable ancient books are receiving increasing attention from libraries.As a precious spiritual wealth of the Chinese nation,ancient books possess multiple attributes such as literature,archives,and cultural relics.Balancing“preservation”and“utilization”has always been a focus of ancient book protection work.With the development of digital technology,digitizing ancient books has effectively solved the contradiction bet ween protection and utilization of ancient books.However,the mainstream digital technology for ancient books is microfilm technology,which can extend the protection period of ancient books,but has low resolution and is not easy to query.The development of AI technology has provided new ideas for the organization of ancient book data.Based on this,the article explores the management of ancient books in prefecture level libraries in the context of AI 2.0 era,and discusses the advantages of the application of AI big data management in current prefecture level libraries from the perspective of Grid-style social management in China,thus obtaining the advantages of the application of AI big data management in ancient books in prefecture level libraries,as well as the problems and difficulties that need attention in management.

关 键 词:AI技术 地市级图书馆 古籍管理 网格化管理 

分 类 号:G255[文化科学—图书馆学]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象