Abstract
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.
Abstract (translated)
近年来，具有可解释性（Explainability或可理解性）的XAI技术引起了人们的关注。预计，在法医学和司法系统的开发中，XAI将得到应用。在今天的法医学和刑事调查环境中，专家面临着许多挑战，由于数据量巨大，证据碎片化且复杂的环境，传统实验室结构和有时缺乏的知识，所有这些可能导致调查失败和司法公正的失败。在本文中，我们描述了在犯罪现场调查中应用的一种逻辑方法。该方法的主题是《福尔摩斯短篇故事》中的《斑点带》。所应用的数据是知识图谱推理挑战中的知识图谱。我们试图通过推断每个人的动机、机会和方法来找到凶手。我们从字典和词典中创建了杀人的动机和方法的语义网络，并将其添加到《福尔摩斯短篇故事》的知识图中，然后应用脚本来确定动机、机会和方法。
URL
https://arxiv.org/abs/2402.08284
