| 摘要: |
| 在深入梳理现代情报分析六大关键问题和理想状态的基础上，结合大数据和人工智能技术近10年的跨越式发展，针对目前大数据和人工智能技术应用于情报分析的主要认识误区，详细分析了其用于情报分析领域的六大挑战和所需7项关键支撑技术，并提出了大数据和人工智能基础上的新型情报分析技术体系架构模型和情报生产使用流程。最后，对未来情报界相关系统和工作流程建设提出了四个方面的建议。 |
| 关键词: 情报分析 体系架构 大数据 人工智能 |
| DOI： |
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| 基金项目: |
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| Intelligence analysis and technologies development exploring in big-data and artificial intelligence era |
| GAN Yi,WANG Lianggang,HUANG Jinyuan,CHEN Liang |
| (Southwest China Institute of Electronic Technology,Chengdu 610036,China) |
| Abstract: |
| With the development of big-data and artificial intelligence in the recent decade,some misunderstandings in intelligence analysis using these technologies should be clarified. Six main challenges and seven key technologies in intelligence analysis using big-data and artificial intelligence are elaborated based on six key problems and ideal states in modern intelligence analysis. Then a novel intelligence collection and analysis technology framework model as well as intelligence production process using big-data and artificial Intelligence are proposed. Finally,four suggestions for future intelligence correlative system and working process are mentioned. |
| Key words: intelligence analysis framework big-data artificial intelligence |
