面向多模态数据的信息综合保障知识图谱构建方法研究
Research on Construction Method of Knowledge Graph for Comprehensive Information Support Based on Multimodal Data
摘要: 信息化环境下，信息综合保障流程中的数据呈现多源异构、模态多样、语义关联复杂的特征，传统分散式信息管理模式存在信息孤岛突出、跨模态融合困难、决策支撑能力薄弱等问题。针对信息综合保障领域缺少定制化多模态知识建模方案的痛点，本文提出面向多模态数据的信息综合保障领域知识图谱构建方案。可有效整合多模态信息数据，为信息综合保障提供结构化知识支撑。本文详细介绍了多模态数据处理及知识图谱的构建方法，为相关领域的研究和实践提供参考。
Abstract: In the information-based environment, the data within the comprehensive information support workflow are characterized by multi-source heterogeneity, diverse modalities and complex semantic correlations. The traditional decentralized information management mode suffers from prominent information silos, difficulties in cross-modal fusion and insufficient decision-making support capacity. To address the pain point of lacking customized multimodal knowledge modeling solutions in the field of comprehensive information support, this paper proposes a construction scheme for domain knowledge graphs oriented to multimodal data for comprehensive information support. This scheme can effectively integrate multi-modal information data and provide structured knowledge support for comprehensive information support operations. This paper elaborates on multi-modal data processing and knowledge graph construction methods, offering references for research and practical applications in related fields.
文章引用：张智隆, 史小敏, 屠义强, 顾双龙, 商帅帅. 面向多模态数据的信息综合保障知识图谱构建方法研究[J]. 数据挖掘, 2026, 16(4): 143-153. https://doi.org/10.12677/hjdm.2026.164013

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