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Analysis on Small Data Fusion of Researchers in the Context of “Internet+”
Received date: 2016-01-18
Revised date: 2016-02-26
Online published: 2016-03-20
[Purpose/significance] This paper aims to study the issue on dynamic acquisition and transboundary fusion of small data of researchers from the perspective of "Internet+".[Method/process] It analyzes the connotation and characteristics of small data, and clarifies the source and constitution of small data of researchers. Furthermore, the significances of small data fusion is expounded from the perspectives of researchers' environment, researchers' requirements and scientific research pattern. On this basis, the paper discusses the main principles and specific process of small data fusion.[Result/conclusion] Small data fusion has four levels of basis, association, feature and requirement. It is an important way to effectively promote the fusion innovation with the data acquisition, data association, feature extraction and knowledge demands. This pattern provides a support for the prediction of potential demands and push of personalized services.
Key words: "Internet+"; small data; data fusion; researcher; scientific research
Li Lirui , Deng Zhonghua . Analysis on Small Data Fusion of Researchers in the Context of “Internet+”[J]. Library and Information Service, 2016 , 60(6) : 58 -63 . DOI: 10.13266/j.issn.0252-3116.2016.06.009
[1] 冀勇庆. 李彦宏是提出"互联网思维"的第一人[EB/OL].[2015-11-25]. http://www.iceo.com.cn/com2013/2014/0410/286723.shtml.
[2] 新华社. 政府工作报告(全文)[EB/OL].[2015-10-18]. http://www.gov.cn/guowuyuan/2015-03/16/content_283510. htm.
[3] 国务院. 国务院关于积极推进"互联网+"行动的指导意见[EB/OL].[2015-12-10]. http://www.gov.cn/zhengce/content/2015-07/04/content_10002.htm.
[4] 高翔, 王勇. 数据融合技术综述[J]. 计算机测量与控制, 2002, 10(11):706-709.
[5] WALTZ E, LINAS J. Multisensor data fusion[M]. London:Artech House Publisher, 1990.
[6] 化柏林. 情报学三动论探析:序化论、转化论与融合论[J]. 情报理论与实践, 2009, 32(11):21-24.
[7] 化柏林. 多源信息融合方法研究[J]. 情报理论与实践, 2013, 36(11):16-19.
[8] 化柏林, 李广建. 大数据环境下多源信息融合的理论与应用探讨[J]. 图书情报工作, 2015,59(16):5-10.
[9] 王征, 谢奉君. 基于多源信息融合的高校图书馆推荐系统[J]. 情报理论与实践, 2014(2):93-97.
[10] ESTRIN D. Small data, where n=me[J]. Communications of the ACM, 2014, 57(4):32-34.
[11] 马晓亭, 陈臣. 基于可信小数据的图书馆个性化服务研究[J]. 图书情报工作, 2015,59(1):85-88.
[12] 孙红蕾, 郑建明. 小数据思维驱动下的数字文化治理路径探析[J]. 图书馆学研究,2015(18):39-43.
[13] 陈臣, 马晓亭.基于小数据的图书馆个性化推送服务与服务质量保证研究[J].情报理论与实践, 2015,38(10):95-99.
[14] 新浪科技. 曹国伟:"互联网+"代表的是一种新经济形态[EB/OL].[2015-12-10]. http://tech.sina.com.cn/i/2015-03-21/163710019803.shtml.
[15] 杨平, 田野. 长尾数据共享研究进展[J].图书情报工作,2014, 58(8):133-138.
[16] HEIDORN P B. Shedding light on the dark data in the long tail of science[J]. Library trends, 2008, 57(2):33-35.
[17] 邓仲华, 李立睿, 陆颖隽. 大数据环境下嵌入科研过程的信息服务模式研究[J]. 图书与情报, 2014(1):30-34,40.
[18] 李立睿, 邓仲华. 面向科研的嵌入式知识推送服务研究(下)——基于用户兴趣模型的视角[J]. 图书馆杂志, 2015(8):15-20.
[19] 王恩雁, 李向阳. 应对灾情态势评估的多源信息融合规划研究[J].情报理论与实践, 2014, 37(6):68-72,54.
[20] 马化腾, 张晓峰,杜军. 互联网+:国家战略行动路线图[M]. 北京:中信出版社, 2015.
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