中国科学院文献情报中心机构知识库
Advanced  
NSL OpenIR  > Journal of Data and Information Science  > Chinese Journal of Library and Information Science-2012  > 期刊论文
Title: A view on "big data" and its relation to Informetrics
Author: ROUSSEAU, Ronald
Source: Chinese Journal of Library and Information Science
Issued Date: 2012-11-20
Volume: 5, Issue:3, Pages:12-26
Keyword: Big data ; CAP theorem ; Knowledge representation ; Data mining ; Ethical concerns
Subject: 编辑出版
Corresponding Author: Ronald ROUSSEAU (E-mail:ronald.rousseau@khbo.be)
English Abstract:

Purpose: big data offer a huge challenge. Their very existence leads to the contradiction that the more data we have the less accessible they become, as the particular piece of information one is searching for may be buried among terabytes of other data. In this contribution we discuss the origin of big data and point to three challenges when big data arise: Data storage, data processing and generating insights.

Design/methodology/approach: Computer-related challenges can be expressed by the CAP theorem which states that it is only possible to simultaneously provide any two of the three following properties in distributed applications: Consistency (C), availability (A) and partition tolerance (P). As an aside we mention Amdahl’s law and its application for scientific collaboration. We further discuss data mining in large databases and knowledge representation for handling the results of data mining exercises. We further offer a short informetric study of the field of big data, and point to the ethical dimension of the big data phenomenon.

Findings: There still are serious problems to overcome before the field of big data can deliver on its promises.

Implications and limitations: This contribution offers a personal view, focusing on the information science aspects, but much more can be said about software aspects.

Originality/value: We express the hope that the information scientists, including librarians, will be able to play their full role within the knowledge discovery, data mining and big data communities, leading to exciting developments, the reduction of scientific bottlenecks and really innovative applications.

Related URLs: 查看原文
Content Type: 期刊论文
URI: http://ir.las.ac.cn/handle/12502/5605
Appears in Collections:Chinese Journal of Library and Information Science-2012_期刊论文

Files in This Item: Download All
File Name/ File Size Content Type Version Access License
12-26-Ronald Rousseau[3].pdf(931KB)----开放获取View Download

Recommended Citation:
ROUSSEAU, Ronald. A view on "big data" and its relation to Informetrics[J]. Chinese Journal of Library and Information Science,2012,5(3):12-26.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[ROUSSEAU, Ronald]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[ROUSSEAU, Ronald]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
文件名: 12-26-Ronald Rousseau[3].pdf
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2017  中国科学院文献情报中心 - Feedback
Powered by CSpace