大数据情报分析发展机遇及其挑战

大数据时代，情报信息的分析处理面临着前所未有的机遇和挑战。本文从情报学发展范式的角度阐述了情报分析的现状；以事实数据、工具方法和专家智慧相融合的情报处理理念为指导，剖析了大数据情报分析在大数据融合、大数据处理技术与工具、信息深度挖掘方面的应用需求和面临的挑战；最后以大数据情报分析过程中的数据采集、预处理、分析和应用为主线展望了大数据情报分析的应用发展机遇和技术趋势。
In the era of big data, information and intelligence analysis is facing unprecedented opportunities and challenges. This paper describes the status of intelligence analysis from the perspective of the information science development paradigm. With the guidance of information processing concepts, which is an integration of factual data, tools, methods and expert wisdom, the application requirements and challenges of big data intelligence analysis were analyzed in terms of big data integration, big data processing technology, tools and deep information mining. Finally, because the big data intelligence analysis process consists of data collection, pre-processing, analysis and application as the main components, the application development opportunities and technical trends of big data intelligence analysis were forecasted