| 张凯,赵国甫,陈沅.5G雾计算环境下图书馆“个性环绕贴身式”服务技术方案[J].中国图书馆学报,2020,46(6):91~105 |
| 5G雾计算环境下图书馆“个性环绕贴身式”服务技术方案 |
| A Technical Scheme of “Personal Surrounding and Close Fitting” for Library Service under 5G and Fog Computing |
| 投稿时间：2019-09-23 修订日期：2020-10-23 |
| DOI： |
| 中文关键词: 图书馆服务 5G 雾计算 个性推荐 |
| 英文关键词: Library service 5G Fog computing Personal recommendation |
| 基金项目:本文系国家社会科学基金项目“第四范式下数据新闻业务流程集成框架重构研究”（编号:15BXW012）的研究成果之一 |
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| 摘要点击次数: 979 |
| 全文下载次数: 579 |
| 中文摘要: |
随着5G、雾计算和推荐系统技术的成熟,图书馆服务有望在数字图书馆的基础上再次升级。本文基于5G雾计算环境提出了一种“个性环绕贴身式”图书馆服务模式。首先,利用软件定义网络（SDN）技术对5G图书馆网络进行垂直结构和水平业务切片设计；其次,利用边缘计算（MEC）技术和雾模型进行图书馆网络边缘计算和雾计算设计；接着利用网络功能虚拟化（NFV）技术进行图书馆网络读者边缘设备的“雾化”设计；然后分别使用文献目录细分和人工智能技术对文献进行“颗粒化”设计；最后,利用个性推荐和数据库技术进行图书馆读者个性信息推送软件设计。文章探讨的是一种新的图书馆服务模式,可以为读者提供超高速、贴身环绕、个性化、精准的信息推送服务。图10。表2。参考文献29。
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| 英文摘要: |
In the explosive growth of information today,how to use the more advanced information technology,quickly and accurately find valuable information for readers,improve the efficiency of reading literature,become urgent problems to be solved in the library. 5G has become a hot new technology and is expected to upgrade the library service. This research has certain theoretical significance and practical reference value. At present,there are three problems to be solved in library service:The first is speed. Nowadays,e-library services,especially multimedia services,are seriously stuck,and their network speed has not kept up with the needs of readers. Secondly,the popularity of mobile phones makes readers look forward higher to personal services. The third is personalized services. At present,almost all libraries are standardized “one to many” services,and their one-to-one personalized services are not strong. For this reason,the authors put forward a library service mode of “personalized around and close to the body” under 5G and fog computing,which requires using 5G network,fog computing and personalized recommendation technology to provide readers with super high speed and “around and close to the body” personalized information push service,so that readers can enjoy the service,literature delivered to readers mobile phones,according to their personal preferences at any time and any place,even in high speed mobile. This mode is actually a combination of “5G network + fog computing + personalized recommendation” and library services. 5G has the characteristics of ultra high speed,large connection,ultra high reliability,ultra low time delay,etc. The combination of 5G network edge computing and fog computing technology will make the cloud computing service （“Literature Cloud”） of the electronic library become a fog computing environment （“Literature Fog”） closer to the reader end. The combination of the granulation method of library documents and the personalized recommendation technology is expected to make the service of the library become a “personalized” service. From the perspective of existing technology and application conditions,the service mode of “personalized surrounding and close fitting” library under 5G and fog computing is just a concept and assumption. It is a forward-looking and academic exploration of the library service mode,and what the author puts forward is just a technical framework. If this concept is implemented in every library,it needs to be designed in detail according to the specific situation. 10 figs. 2 tabs. 29 refs.
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