一种基于知识图谱的警用统一对象描述模型及其应用

A Research into the Knowledge Graph Based Descriptive Model for the Police-big-data

近年来知识图谱应用逐渐从知识分析扩展为对社会实体及其关系的表达,其在知识表示和碎片化知识融合方面的优势特别适用于警用大数据的需求。本文针对公安数据资源特点,提出了一种基于知识图谱的描述模型,用于在公安领域中对关注对象及其关系进行统一的描述,满足不同类型的大数据应用。实践表明该模型能够将海量异构多源数据统一组织,并较好满足多种警用大数据的计算需求。

Recent years, knowledge graph has been widely used to present social entities and their mutual relationships for its outstanding advantages in knowledge representing and merging. The police data is large scale and complicated connected, which makes the knowledge graph much useful in information extraction and inferring. In this paper, we proposed a descriptive model based on knowledge graph to describe the important police-related objects and relationships universally. This descriptive model can organize and distinguish the heterogeneous police-big-data, and at the same time can satisfy the computation requirements required by the multi-kinds of police usages.