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论人工智能时代新一代智慧图书馆系统构建 被引量:11

Study on Construction of A New Generation of Smart Library System in the Era of AI
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摘要 人工智能为传统行业带来新的发展机遇,也促进了新一代智慧图书馆系统的构建。文章首先阐述了人工智能时代图书馆面临的困境,如用户的大量流失与信息资源整合难度加大;分析了人工智能在智慧图书馆建设过程中的应用,目前常见的有智慧图书馆个性化感知系统、信息智能化分析系统与图书资源分类的智能化3个方面;进一步分析了人工智能时代新一代智慧图书馆系统构建要素,其中,物联网技术层是基础,智能设备是关键,人工智能服务则是使读者体验到智慧图书馆便捷性与个性化的保障。最后提出了人工智能时代新一代智慧图书馆系统构建新思路,要面向图书馆用户开发人工智能系统服务,面向智能社会发展的数据资源建设服务,面向不同服务群体的拓展型深度服务,以助力图书馆的智能化转型。 Artificial intelligence(AI)brings new development opportunities for traditional industries,and also promotes the construction of a new generation of smart library system.This article first expounded the dilemma faced by libraries in the era of AI,such as the large loss of users and the increasing difficulty of integrating information resources,analysed the application of AI in the construction of smart libraries,including three common aspects:the personalized perception system of smart libraries,intelligent analysis system of information and the intelligent classification of book resources,and further analyzed the construction elements of the new generation of smart library system in the era of AI.Among them,the technology layer of the Internet of Things is the foundation;the intelligent equipment is the key;AI service is the guarantee for readers to experience the convenience and personalization of smart libraries.Finally,a new idea of building a new generation of smart library system in the era of AI was put forward.It was necessary to develop AI system services for library users,promote data resources construction services for the development of intelligent society,and extend in-depth services for different service groups to help the intelligent transformation of libraries.
作者 罗寰 LUO Huan(Guiyang College of Traditional Chinese Medicine,Guiyang 550025,China)
机构地区 贵阳中医学院
出处 《中国中医药图书情报杂志》 2019年第1期1-3,共3页 Chinese Journal of Library and Information Science for Traditional Chinese Medicine
关键词 人工智能 智慧图书馆 物联网 智能设备 大数据 artificial intelligence(AI) smart libraries Internet of Things intelligent equipment big data
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