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情报分析中多源多模态数据融合的逻辑思路与技术路径研究 被引量:2

Research on the Logical Approach and Technical Pathway of Multi-Source and Multi-Modal Data Fusion in Intelligence Analysis
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摘要 [目的/意义]情报分析作为数据利用的前沿阵地,在多源多模态数据融合中仍面临思维与技术脱钩、边际效应初现、任务与技术适配不强等挑战,亟待探讨情报思维指导、情报任务牵引下数据融合利用的逻辑思路与技术路径。[方法/过程]文章明确了多源多模态数据的泛在性、高维性、动态性、互补性与冗余性特征,依据信息链与信息论阐释了情报分析中多源多模态数据融合的理论基础;基于“数据有用、数据可用、数据效用”的原则建构了底层逻辑,形成了情报任务、数据特征与系统效能有机协同的基本思路;通过将数智技术嵌入情报分析流程,提出了“数据资源准备-多维特征对齐-智能情报生成”三阶递进式多源多模态数据融合技术路径。[结果/结论]研究成果为多源多模态数据融合赋能情报实践提供了策略参考和方法指南,有助于推动数据价值的深层次挖掘和情报工作的数智化转型。 [Purpose/significance]As the frontier of data utilization,the intelligence analysis still faces challenges such as decoupling of thinking and technology,the emergence of marginal effects,and poor adaptation between tasks and technologies in the fusion of multi-source and multi-modal data.It is urgent to explore the logical thinking and technical path for data fusion and utilization under the guidance of intelligence thinking and the traction of intelligence tasks.[Method/process]This paper clarifies the ubiquity,high dimensionality,dynamicity,complementarity and re⁃dundancy characteristics of multi-source and multi-modal data,and explains the multi-source and multi-modal data fusion for intelligence analysis from the perspective of information chain and information theory;based on the principle of"data is useful,available and utility",the underlying logic is constructed to form the basic idea of organic coordina⁃tion of intelligence tasks,data characteristics and system effectiveness;by embedding digital intelligence technology in⁃to the intelligence analysis process,a three-stage progressive multi-source and multi-modal data fusion technical path of"data resource preparation,multi-dimensional feature alignment,smart intelligence generation"is proposed.[Re⁃sult/conclusion]The research results provide strategic references and methodological guidelines for the fusion of multi-source and multi-modal data to empower intelligence practice,which is helpful to promote the deep mining of da⁃ta value and the digital-intelligent transformation of intelligence work.
作者 夏义堃 刘博文 田聪 Xia Yikun;Liu Bowen;Tian Cong(Research Institute for Data Management Innovation,Nanjing University,Suzhou,215163)
出处 《情报资料工作》 北大核心 2025年第5期5-15,共11页 Information and Documentation Services
基金 国家社会科学基金重大项目“基于数智融合的信息分析方法创新与应用研究”(批准号:22&ZD326)的研究成果。
关键词 情报分析 多源多模态 数据融合 情报思维 数智技术 intelligence analysis multi-source and multi-modal data fusion intelligence thinking digital intelligence technology
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