伤害类犯罪案由推理辅助决策方法研究与实践  

Research and Practice of Reasoning-Assisted Decision-Making Methods for Injury Crimes

作　　者：华斌[1] 位梦涵 Hua Bin;Wei Menghan(School of Science&Technology,Tianjin University of Finance and Economics,Tianjin 300222,China)

机构地区：[1]天津财经大学理工学院,天津300222

出　　处：《数据分析与知识发现》2023年第12期142-154,共13页Data Analysis and Knowledge Discovery

摘　　要：[目的]以故意伤害罪为例,提出一种基于知识图谱与D-S证据理论的伤害类犯罪案由推理与可视化方法。[方法]构建故意伤害罪犯罪知识本体并补充表示相关知识;以案件审讯记录为数据源,利用文本挖掘技术实现知识抽取并实例化形成案件知识图谱;利用D-S理论消除证据冲突,完成知识融合;利用自定义的推理规则实现案由推理结果并实现可视化。[结果]利用D-S证据理论实现真值发现准确率达到95.45%,验证了所提方法的有效性。[局限]方法受到审讯记录语言规范程度影响。[结论]本文方法不限定审讯过程及次数,能够提升多审讯记录知识融合的准确率,并形成基于客观事实的案由分析结果。[Objective]Taking the crime of intentional injury as an example,this paper proposes a reasoning and visualisation method for the cause of injury crimes based on knowledge graph and D-S evidence theory.[Methods]First,we constructed the crime knowledge ontology of intentional injury crimes and supplementing relevant knowledge.Then,we used the case trial records as a data source.Third,we used text mining technology to extract knowledge and instantiate it to form a case knowledge map.Forth,we used D-S theory to resolve evidence conflicts and complete knowledge fusion.Finally,we utilized custom inference rules to achieve and visualize the results of reasoning.[Results]The accuracy of the truth value determination by D-S evidence theory reached 95.45%,which showed the effectiveness of the proposed method.[Limitations]The method of this paper is influenced by the degree of linguistic standardisation of the interrogation records.[Conclusions]The proposed method does not limit the interrogation process and frequency,which can improve the accuracy of knowledge fusion of multiple interrogation records,form the results of case cause analysis based on objective facts,and improve the efficiency of law enforcement case handling and the level of power supervision.

关 键 词：执法办案 文本挖掘 知识图谱 D-S理论 辅助决策 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] D914[自动化与计算机技术—计算机科学与技术]