摘要
阐述了大数据时代的定义,4V+1C的特点以及大数据在捕获、组织、分析及决策4个阶段的应用情况,提出了高校图书馆基于大数据可以提升个性化的知识服务的可行性、必要性及服务模式,最后探讨了大数据下的高校图书馆在成本、数据仓库架构、隐私和保密、人才储备等面临的挑战和局限。
This article elaborates the content of the big data, application of 4V＋IC, and capture,organization, analysis and decision of the big data, points out the feasibility and necessity of enhancing the knowledge service of university library based on big data, finally discusses the challenges and limitations of university library facing big data about cost, data warehouse architecture, privacy and confidentiality.
出处
《现代教育技术》
CSSCI
2014年第9期15-21,共7页
Modern Educational Technology
关键词
高校图书馆
大数据
知识服务
数据挖掘
university library
big data
knowledge service
data mining
