摘要
学者们已经广泛关注到:情报学与大数据、机器学习、云计算等数据智能技术存在天然的密切联系,但是这些技术发展对情报流程作用影响方面的研究还不够深入,难以满足当前情报机构工作改革的迫切需要。文章在厘清新时代情报工作面临挑战的基础上,不仅分析了数据智能技术在情报领域搜集、存储和处理数据信息的方式已经带来的变革,而且指出在未来几十年内将继续改变情报流程的所有环节——从搜集到分析再到分发。研究认为,数据智能技术在情报领域的应用具有增强情报全流程各阶段的潜力,因此正日益成为世界主要国家情报竞争的制高点。最后对未来情报工作发展进行了预测。
The inherent relationship between information science and big data,machine learning,cloud computing and other data intelligence technologies has drawn wide attention among scholars.However,the researches concerning the impact of those technologies on intelligence process are far from deep enough to meet the urgent needs of the current reform in the information institutions.After describing the challenges in intelligence activities in this new era,the undergoing changes brought by the data intelligence technologies in the ways of collecting,storing and processing data and information in the intelligence field are closely analyzed.Moreover,the paper argues that more profound changes will take place in all aspects of the intelligence process,from data collection to analysis and to distribution.The application of data intelligence technologies in the intelligence field has the potential to enhance all the phases of intelligence process,hence it is becoming the high point of intelligence competition among the world’s major countries.Finally,the prediction on the related future development of the intelligence field is given.
出处
《情报理论与实践》
CSSCI
北大核心
2020年第10期7-12,共6页
Information Studies:Theory & Application
关键词
数据处理
人工智能
情报流程
开源情报
情报转型
data processing
artificial intelligence
intelligence process
open source intelligence
intelligence transformation
