摘要
为实现公安学科领域知识的结构化组织,以降低学习者认知负荷、促进鉴定等提高公安实战工作效率,采用自上而下的方式构建公安学科知识图谱。由公安应用需求驱动模式层本体设计,并提出数据层知识获取、融合和计算方法。基于OWL本体与图数据库存储模型间的映射规则,设计Neo4j数据库下的知识图谱存储方案。评估实验结果表明,图谱可支持各类检索操作,并返回正确结果。公安学科知识图谱能够以实战问题为核心充分表示领域知识,并满足支持公安实战和领域知识深度学习等应用需求。
In order to achieve the structured organization of knowledge in public security disciplines,reduce learners'cognitive load,and promote the efficiency of public security departments in practical work,this study attempts to adopt a top-down approach(from schema layer to data layer)to construct a knowledge graph for public security disciplines.With the public security application-driven approach,schema layer ontology is designed,and methods of knowledge acquisition,knowledge fusion and knowledge computing in data layer are proposed.Based on the mapping rules from OWL ontology to graph databases,the storage scheme of the knowledge graph in Neo4j database is designed.The results of an evaluation experiment show that,the knowledge graph for public security disciplines can support various operations of knowledge query and return correct results,so it can fully represent the knowledge in public security field with practical problems as the core,and satisfy the needs to support public security departments in practical work and help in-depth learning of the disciplinary knowledge.
作者
樊舒
Fan Shu(Criminal Investigation Police University of China,Shenyang 110854,China)
出处
《贵州警察学院学报》
2024年第2期68-77,共10页
Journal of Guizhou Police College
基金
辽宁省社会科学规划基金项目(L21BTQ007)
辽宁省普通高等教育本科教学改革研究项目(1017508)。
关键词
公安学科
知识图谱
知识表示
图数据库
public security disciplines
knowledge graph
knowledge representation
graph database
