摘要
随着计算机和互联网产业的飞速发展,数据量变得越来越庞大,复杂程度也越来越高。为了解决海量数据资源的揭示与报导问题,并帮助目录学适应大数据背景的变化寻求转型,通过对大数据时代在目录学学科体系、理论体系、教育体系和工作体系等方面产生的影响进行分析,认为合理、高效地采集、组织、揭示、利用海量网络信息资源是目录学的新使命,并在此基础上建议目录学新的发展方向,即向智能目录学转型。目录学结合大数据、人工智能等技术将有助于解决网络信息无序与人们对文献信息的特定需要之间的矛盾,还有助于整理、优化人类庞大的知识体系,更好更全面地塑造人类文化。
With the rapid development of the computer and Internet industries,the amount of data is getting larger and larger,and the complexity is getting higher and higher.In order to solve the problem of revealing and reporting massive data resources,and to help bibliography adapt to changes in the background of big data and seek transformation,the impacts of the subject system,theoretical system,education system and work system of bibliography in the big data era are analyzed through literature research,comparative analysis,case analysis and other methods.Collecting,organizing,revealing and utilizing massive network information resources reasonably and efficiently is considered as the new mission of bibliography.On this basis,the new development direction of bibliography that transforming into intelligent bibliography is proposed.Bibliography combining big data,artificial intelligence and other technologies can help resolve the contradiction between network information disorder and people’s need for specific literature information.It also helps to organize and optimize human’s huge knowledge system and shape human culture better and more comprehensively.
作者
石进
胡雅萍
李益婷
Shi Jin;Hu Yaping;Li Yiting
出处
《图书馆学研究》
CSSCI
北大核心
2019年第6期49-55,共7页
Research on Library Science
基金
国家社会科学基金"面向国家安全和情报研究"(项目编号:18FTQ005)
国家社会科学基金"决策失误防范中的情报保障体系研究"(项目编号:16CTQ021)的研究成果之一
关键词
目录学
大数据
人工智能
智能推荐
bibliography
big data
artificial intelligence
intelligent recommendation
