XAI (eXplanable AI) techniques that have the property of explaining the reasons for their conclusions, i.e. explainability or interpretability, are attracting attention. XAI is expected to be used in the development of forensic science and the justice system. In today's forensic and criminal investigation environment, experts face many challenges due to large amounts of data, small pieces of evidence in a chaotic and complex environment, traditional laboratory structures and sometimes inadequate knowledge. All these can lead to failed investigations and miscarriages of justice. In this paper, we describe the application of one logical approach to crime scene investigation. The subject of the application is ``The Adventure of the Speckled Band'' from the Sherlock Holmes short stories. The applied data is the knowledge graph created for the Knowledge Graph Reasoning Challenge. We tried to find the murderer by inferring each person with the motive, opportunity, and method. We created an ontology of motives and methods of murder from dictionaries and dictionaries, added it to the knowledge graph of ``The Adventure of the Speckled Band'', and applied scripts to determine motives, opportunities, and methods.

翻译：具有解释其结论原因特性的XAI（可解释人工智能）技术，即可解释性或可理解性，正受到广泛关注。XAI预计将在法医学发展和司法系统中得到应用。在当今的法医和刑事调查环境中，由于数据量庞大、混乱复杂环境中的微量证据、传统实验室结构以及有时知识储备不足，专家们面临诸多挑战。所有这些都可能导致调查失败和司法误判。本文描述了一种逻辑方法在犯罪现场调查中的应用，应用对象是夏洛克·福尔摩斯短篇小说《斑点带子案》。所采用的数据是为知识图谱推理挑战创建的知识图谱。我们通过推断每个人的动机、机会和作案方式来寻找凶手。从词典和字典中创建了动机和谋杀方法的本体，将其添加到《斑点带子案》的知识图谱中，并应用脚本来确定动机、机会和作案方式。