摘要
大数据环境对情报学的发展产生了深刻的影响。本研究总结了当前大数据环境的关注重点,认为大数据环境对情报学发展的影响主要体现在情报学的原理、方法和实践三个方面的变革。在理论方面,大数据环境赋予了情报学基础理论以新的内涵,带来了情报学范式的变革,情报学原理的外延也需要进一步明确以适应新的大数据环境;在方法方面,大数据所具有的数据量大、类型繁多、价值密度低而总量大、处理速度快的特点,要求情报学方法提升海量数据处理能力,兼容多种数据形式,细化数据分析粒度,具有用户亲和力;在实践与应用方面,多学科横向交叉融合开展情报实践成为必然趋势,情报学实践纵深发展的要求也将进一步提升;情报应用价值也将在深度和广度上得到升华。
The big data environment has had a profoundly deep impact on the development of informatics. This paper introduces the popular topic of big data environment research. The big data environment has brought about significant changes to the theory, methodology, and practices of informaties. In terms of theory, the big data environment has renewed the original intentions of informatics theory and paradigm; meanwhile, the extension of informatics should be re-det-med to fix this new environment. In addition, the features of big data, which are the volume, variety, value, velocity, and veracity, have put forward new requirements to the methods of informatics, which should enhance the capacity of mass data processing, be compatible with various data forms, refine the granularity of data analysis, and be close to the users. In terms of practice and application, a multiple cross-discipline knowledge integration of infor- matic practices should be a genuine trend in the big data environment, and the requirements for the deepening devel- opment of informatics practices will be gradually promoted. In this way, the value of informatics applications will be deeply and extensively upgraded.
作者
董克
邱均平
Dong Ke Qiu Junping(School of Information Management, Wuhan University, Wuhan 430072 Research Center for Chinese Science Evaluation, Wuhan University, Wuhan 430072 Center for Studies of Information Resources, Wuhan University, Wuhan 430072)
出处
《情报学报》
CSSCI
CSCD
北大核心
2017年第9期886-893,共8页
Journal of the China Society for Scientific and Technical Information
基金
国家自然科学基金"科学知识扩散网络的语义增强型多重路径识别研究"(71603195)
中央高校基本科研业务费专项资金-武汉大学自主科研项目(人文社会科学)"中国科学评价研究中心建设"
关键词
大数据环境
情报学
发展
影响
big data environment
informatics
development
influence
