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基于大数据的图书馆数字资源重构与融合研究
引用本文:陈臣.基于大数据的图书馆数字资源重构与融合研究[J].现代情报,2016,36(8):10.
作者姓名:陈臣
作者单位:兰州财经大学信息中心, 甘肃 兰州 730020
基金项目:“兰州财经大学科研专项经费”支持。
摘    要:数字图书馆已进入大数据时代。大数据时代既给数字图书馆带来了机遇,也给数字图书馆带来了挑战,如何将零散分布、孤岛存储的图书馆数字资源融合成完整的“大数据”,从中提取出有用的信息,并最终转化为知识和规则,对于提升数字图书馆的服务能力和竞争力十分重要。针对数字图书馆存在数据来源各异、数据存储方式多样、数据形式非结构化等问题,本文对大数据时代图书馆数字资源的重构与融合问题进行了研究,提出了基于大数据的图书馆数字资源重构与融合策略。该策略有助于对图书馆数字资源进行整合,可促进数字资源的共享,有助于加强数字资源、读者、系统服务资源和个性化服务模式的融合,并最终提升数字图书馆的综合服务能力。

关 键 词:大数据  图书馆  数字图书馆  数字资源  重构与融合  

Research on the Reconstruction and Integration of Digital Resources in Library Based on Big Data
Authors:Chen Chen
Institution:Information Center, Lanzhou University of Finance and Economics, Lanzhou 730020, China
Abstract:Digital library has entered the era of big data,when brings opportunities,it also brings challenges.How to integrate digital resource into whole big data from data and information that scattered distribution and fragmentary existence in digital library,extract valuable information from them,translate into useful knowledge and rule,which is important to enhance the service ability and competitiveness of digital library.In view of the issues concerning different data sources,diverse data storage and unstructured data existing in digital library,the paper conducted some research on the reconstruction and integration of digital resources of library In the era of big data,the strategy of digital resources reconstruction and fusion based on big data is put forward.The strategy is helpful for the integration of digital resources in digital libraries,and promoted the sharing of digital resources,and helped strengthen the contact of the digital resources,reader,system service resource,and Personalized service model,so as to enhance the competitiveness of the digital library,ultimately improve the comprehensive service ability of Digital Library.
Keywords:big data  library  digital library  digital resources  reconstruction and integration  
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