[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.
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