农业图书情报学刊 ›› 2018, Vol. 30 ›› Issue (8): 23-26.doi: 10.13998/j.cnki.issn1002-1248.2018.08.004

• 信息论坛 • 上一篇    下一篇

基于人工智能技术的图书馆智能仓储模型研究

莫济江   

  1. 岭南师范学院,广东 湛江 524048
  • 收稿日期:2018-04-10 出版日期:2018-08-05 发布日期:2018-08-25
  • 作者简介:莫济江(1982-),男,硕士,岭南师范学院,助理馆员,研究方向:图书馆系统集成自动化、数字图书馆。
  • 基金资助:
    岭南师范学院人文社科研究规划基金项目“高校图书馆核心价值的内隐观研究:一种自下而上的实证探索”(项目编号: WY1817)

Research on Library Intelligent Storage Model Based on AI Technology

MO Jijiang   

  1. Lingnan Normal University, Zhanjiang Guangdong 524048, China
  • Received:2018-04-10 Online:2018-08-05 Published:2018-08-25

摘要: 随着近年来中国信息技术快速发展,有必要基于人工智能技术就图书馆智能仓储模型展开详细研究,从中找到优化图书馆知识服务机制的方法,为图书馆创新服务模式提供经验指导。文章在分析人工智能技术的含义及特征的基础上就智能仓储技术的研究现状展开了详细探讨,包括智能仓储技术在中国的发展趋势、图书馆智能仓储技术的应用现状等,探究了基于人工智能技术的图书馆仓储模型设计要点,包括馆藏资源数据库设计、图书信息分配、物理信息地址、智能辅助工具等,总结出了基于人工智能技术图书馆仓储模型的设计方法。

Abstract: with the rapid development of information technology in China in recent years, it is necessary to study the model of library intelligent storage based on artificial intelligence technology, find the way to optimize the knowledge service mechanism of library, and provide experience guidance for the library innovation service model. on the basis of the analysis of the meaning and characteristics of artificial intelligence technology, the research status of intelligent storage technology is discussed in detail, including the development trend of intelligent storage technology in China, the application status of intelligent storage technology in Library and so on, and the library storage model based on human intelligence technology is explored. The main points include the design of library resources database, the distribution of book information, the physical information address, and the intelligent assistant tools, and the design method of the library storage model based on artificial intelligence technology is summarized.

中图分类号: 

  • G231.6

引用本文

莫济江. 基于人工智能技术的图书馆智能仓储模型研究[J]. 农业图书情报学刊, 2018, 30(8): 23-26.

MO Ji jiang. Research on Library Intelligent Storage Model Based on AI Technology[J]. , 2018, 30(8): 23-26.