Keywords:Knowledge Graph, Explainablity, Reasoning, Machine Learning
New challenges for knowledge graph reasoning started in Japan in 2018. Machine learning techniques have promoted applying systems containing AI to a wide variety of social systems. The explanation for the AI decision is becoming important to guarantee the security and safety of such AI systems to a certain extent. Therefore, the Special Interest Group on Semantic Web and Ontology of JSAI organized this challenge, which calls for techniques for reasoning and/or estimating criminals with a reasonable explanation based on an open knowledge graph representing a well-known novel of Sherlock Holmes. This paper describes a summary report of the first challenge, including the knowledge graph constructed for this task, approaches proposed for reasoning and/or estimating, and the evaluation metrics. Finally, we conclude this paper with the plans and issues for the next challenge in 2019.