[2H1-GS-3a] 知識の利用：基礎

[2H1-GS-3a-01] Report on the Third Knowledge Graph Reasoning Challenge 2020

Toward the eXplainable AI System

〇Kouji Kozaki^1,2, Shusaku Egami², Kyoumoto Matsushita³, Takanori Ugai³, Takahiro Kawamura^4,2 (1. Osaka Electro-Communication University, 2. National Institute of Advanced Industrial Science and Technology, 3. Fujitsu Laboratories Ltd., 4. National Agriculture and Food Research Organization)

Keywords:Knowledge Graph, Explainability, Machine Learning, Reasoning

This paper reports results of the third knowledge graph reasoning challenge 2020. According to applying AI systems 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. Therefore, the Special Interest Group on Semantic Web and Ontology of JSAI started this challenge in 2018. It calls for techniques for reasoning and/or estimating criminals with a reasonable explanation based on knowledge graphs representing well-known stories of Sherlock Holmes. This paper describes a summary report of the third challenge, then the results of the past three challenges are overviewed. Finally, we conclude this paper with the plans and issues for the next challenge in 2021.