摘要
许多高校图书馆面临着如何利用先进的大数据技术高效开展学科知识服务的问题。文章采用文献分析法、调查分析法、统计分析法和归纳分析法进行研究,在探讨高校图书馆学科服务云平台构建的必要性的基础上,分析了在高校学科服务平台建设过程中要解决的关键问题,并设计出高校图书馆学科服务云平台架构,提出高校图书馆学科云平台服务体系。该研究为高校图书馆在大数据环境下建设全方位的学科服务平台提供了参考。
Today, the main problem faced by many university libraries is how to use advanced big data technology to highly carry out the efficient subject knowledge services. In this paper, the methods of literature analysis, survey analysis, statistical analysis and inductive analysis are adopted to study, on the basis of discussion of the necessity of the construction of university library subject service cloud platform, the key problems to be solved in the construction are analyzed, the university library subject service cloud platform architecture is designed, and the service system of the university library subject service cloud platform is put forward. The study provides university libraries with a reference to build a subject services platform with full range of disciplines in dig data environment.
作者
钱进进
Qian Jinjin(huizhou university library, Huizhou, Guangdong 516000)
出处
《计算机时代》
2017年第10期90-92,共3页
Computer Era
基金
广东省哲学社会科学研究项目"大数据环境下应用型高校学科服务体系建构研究"(GD16YTS01)
关键词
大数据
高校图书馆
学科服务
云平台
big data
university library
subject service
cloud platform