摘要
由于传统智慧化图书馆服务与管理模式无法对海量数据进行专业的分析与管理,因此智慧化图书馆的管理质量较低。针对这一问题,笔者进行基于大数据的智慧化图书馆服务与管理研究。首先,利用大数据技术构建智慧化图书馆个性化服务平台,并建立知识服务引擎;其次,通过建立的知识服务引擎,将采集的海量图书资源信息代入降维表达式中进行降维处理;最后,以MySQL为统一格式融合降维处理后的资源信息,以期提升智慧化图书馆的服务水平。
Because the traditional intelligent library service and management model cannot conduct professional analysis and management of massive data,the management quality of intelligent libraries is low.In response to this problem,the author conducts research on intelligent library service and management based on big data.Use big data technology to build a personalized service platform for a smart library and establish a knowledge service engine;through the established knowledge service engine,the collected mass book resource information is substituted into the dimensionality reduction expression for dimensionality reduction processing;MySQL is the unified format Optimize and integrate the resource information after dimensionality reduction processing,complete the intelligent service and management of library data,in order to improve the service level of intelligent library.
作者
邱晓辰
Qiu Xiaochen(Yingkou Inst让ute of Technology,Yingkou Liaoning 115014,China)
出处
《信息与电脑》
2020年第14期206-207,共2页
Information & Computer
关键词
大数据
智慧化图书馆
服务
管理
big Data
intelligent library
service
management