文章摘要

张凯,郭健栖.图书馆主题大数据调查及前瞻性构想——基于百度指数的分析[J].中国图书馆学报,2016,42(6):51~66
图书馆主题大数据调查及前瞻性构想——基于百度指数的分析
Nationwide Big-data Survey and Analysis on the Library and its Prospect:Based on Baidu Index
投稿时间:2016-08-10  修订日期:2016-09-17
DOI:
中文关键词: 图书馆  大数据  百度指数  大数据图书馆
英文关键词: Library  Big data  Baidu index  Big data library
基金项目:本文系国家社会科学基金项目“第四范式下数据新闻业务流程集成框架重构研究”(编号:15BXW012)的研究成果之一
作者单位
张凯 中南财经政法大学信息与安全工程学院 湖北 武汉 430073 
郭健栖 中南财经政法大学信息与安全工程学院 湖北 武汉 430073 
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中文摘要:
      大数据的发展使图书馆面临前所未有的挑战,也使其大数据调查成为可能,并为其发展提供了机遇。本文利用百度指数平台,以图书馆为主题进行全国性大数据调查,并重点调查了国家图书馆和电子图书馆。研究发现:五年多来,大众对图书馆的关注度较高,且热度快速上升;“图书馆”百度指数由东南向西北地区逐渐减弱,与其地域经济发达程度对应;关注图书馆的人群中,中青年占绝大多数,男性远多于女性;关注的内容主要是大学和国家图书馆的开放时间、图书查找、借阅方式和文献下载,电子图书馆,OA(开放存取)图书馆和图书馆管理系统的使用等;新闻媒体对图书馆的关注度不高,媒体指数与新闻事件呼应和关联。展望未来图书馆的发展,提出了大数据图书馆的概念,与数字图书馆进行对比分析,并对大数据图书馆业务流程所需的关键技术进行讨论。图8。表2。参考文献47。
英文摘要:

    Library research is facing unprecedented challenges and opportunities from big data. In recent years,scholars have been involved in the research,but the literature on the library subject in the nationwide big data survey and analysis has not been found. This paper carries out the survey with the help of the Baidu index platform and uses the visualization technology and the gray theory to analyze the survey results. This survey found:from January 1,2011 to May 20,2016,the index to the word “library” was rapidly increased from 1435 to 1859 points,a rising rate of 30%,and the index average was 1647 points. Men accounted for 73%,and women for 27%. 20-39 years old young people accounted for 75%. The crowd number concerned about the library gradually decreased from the southeast coast to the northwest inland,corresponding to its regional economic development degree. They focused on the library's inquiry,function,document downloading,open hours and borrowing mode,and also wanted to know OA(Open Access)resources,National Library of China,electronic library,etc. Media attention to the library is not high and there is a correlation between the media index and news events. This survey also found:there are deficiencies in the literature download and open service of the digital library. Although scholars and university libraries are exploring the construction of OA resources,its development trend is not clear enough. The methods and strategies at present cannot fundamentally solve the problems above,so it is necessary to put forward new ideas,methods and strategies. This author thinks that the first leap is from the paper library to the digital library,and the second one is to the big data library,which is a kind of active precision delivery system based on data mining and knowledge discovery. Any person at any time and any place can get its ubiquitous services from an Internet access device. It accepts a request from an Internet agent and provides a service to a network anonymous reader through the agent. The result the reader gets is a “knowledge module” form which may be the text,video,audio,experimental process,network connectivity,software systems and/or abstract data format. Because of the huge amount of contents,the operation of its collection and renovation needs to be automated. Raw data from different sources and different formats will be integrated and unified in order to be shareable and open,but all the contents are dispersed in a mixed cloud and the big data library system also runs in the cloud. The support system of the big-data-base is Big Table or H Base. It may be a resource polymerization of all the libraries in a field or a nation,and may even be the convergence of all the libraries in the world. Looking further into the future,a library should not wait for readers to consult the literature but not deliver accurately the desired content to users;instead it should actively participate in the global brain program and use its own big data inventory advantage to provide adequate knowledge resources for the brain reasoning machine. The Baidu index gives only seven visual results made from China's domestic data,and the next step of our research is to use the global data. 8 figs. 2 tabs. 47 refs.

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