基于大数据的反恐情报数据仓库体系结构设计

Design of the Architecture of Data Warehouse for Counter- terrorism Intelligence Based on Big Data

[目的/意义]大数据背景下,反恐情报工作的深层次变革正在酝酿和发生。分析数据的相关性、发掘数据的深层次价值,是大数据反恐情报研究的关键。[方法/过程]在对大数据反恐情报、传统数据仓库体系结构相关理论研究的基础上,将大数据、反恐情报、数据仓库进行深层次融合,结合当前我国反恐情报数据库的现实问题,构建了以反恐情报主题数据库、反恐情报数据仓库为核心的基于大数据的反恐情报数据仓库体系结构。[结果/结论]通过对基于大数据的反恐情报数据仓库体系结构的构建,以期为我国反恐情报的信息化分析和服务决策能力提升提供技术支撑。

[ Purpose/Sigrtifieanee ] There is a fundamental change for the counter-terrorism intelligence work in the era of big data. Ana- lyzing the correlation of data and excavating the deep value of data are the key activities in the big data-based counter-terrorism intelli- gence research. [ Method/Process] On the basis of relevant theoretical studies of big data-based anti-terrorism intelligence and traditional data warehouse architecture, combining with the realistic problems currently existed in China, this article constructs a big data-based counter-terrorism intelligence data warehouse architecture with counter-terrorism intelligence subject database and counter-terrorism intelligence database as its cores. [ Results/Conclusion ] The study can provide technical support to China＇s counter-terrorism intelligence information analysis and service decision making ability improvement.