高校图书馆大数据服务现实困境与应用模式分析

Analysis on Current Dilemma of Big Data Services in University Libraries and the Application Pattern

[目的 /意义]为提高高校图书馆大数据应用服务水平,在综述图书馆大数据服务国内外研究进展并分析现实困境的基础上,提出一种高校图书馆大数据应用模式体系。[方法 /过程]从大数据收集与整合、大数据分析方法、知识服务以及破解资源紧缺难题等角度分析图书馆大数据应用之困境,构建基于大规模网络分析方法的图书馆大数据应用模式体系。[结果 /结论]结合知识管理理论和开源云计算平台的基于大规模网络分析方法的图书馆大数据应用模式,能够应对当前高校图书馆大数据服务面临的挑战,并有效促进高校图书馆大数据服务的进一步发展。

[Purpose/significance ] This paper proposes a big data application pattern architecture of university li- braries to improve the big data application service after analyzing the current dilemma and reviewing literatures of home and abroad. [ Method/process] Based on the big data research status of university libraries, this paper discusses the big data application dilemma of libraries from four aspects including data collection and integration, analytical method, knowl- edge service and challenges of resource shortage, then puts forward the application pattern architecture of university librar- ies based on the method of large - scale network analysis. [ Result/conclusion ] Combined knowledge management theory and cloud computing platform of open source, the proposed application pattern architecture can respond the challenges of current big data services of university libraries and promote its further development.