Abstract

With the continuous improvement of the informatization level of the police, how to make accurate intelligence analysis based on the modeling of massive multimodal data has always been a real intricate problem during the applications of public security big data. Knowledge graph technique can fuse and marge multimodal data in public security business to different intelligence entity elements including person, thing, material, time, and position and reconstruct the deep relations among data in the digital space, which can provide computable and minable data resources with logical hierarchy for intelligence analysis. This study started from the case text data in public security domain, attempted ontology modeling for knowledge mapping in public security domain and explored the establishment mode and application direction of knowledge graphs in public security domain.

中文翻译：

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公安案件知识图谱的建立方法

摘要

随着公安信息化水平的不断提高，如何基于海量多模态数据的建模进行精准的情报分析一直是公安大数据应用过程中面临的现实难题。知识图谱技术可以将公安业务中的多模态数据融合、映射到人、物、物、时间、位置等不同情报实体要素上，重构数字空间中数据之间的深层关系，提供可计算、可挖掘的数据资源。情报分析的逻辑层次。本研究从公安领域案例文本数据出发，尝试对公安领域知识图谱进行本体建模，探索公安领域知识图谱的构建模式和应用方向。