JSAI2019

Presentation information

General Session

General Session » [GS] J-4 Knowledge utilization and sharing

[1K2-J-4] Knowledge utilization and sharing 1

Tue. Jun 4, 2019 1:20 PM - 3:00 PM Room K (201A Medium meeting room)

Chair:Naoki Fukuda Reviewer:Jun Sugiura

2:20 PM - 2:40 PM

[1K2-J-4-04] Report on the First Knowledge Graph Reasoning Challenge 2018

- Toward the eXplainable AI System -

○Takahiro Kawamura1,2, Shusaku Egami2, Koutarou Tamura3,4, Yasunori Hokazono4, Takanori Ugai5, Yusuke Koyanagi5, Fumihito Nishino5, Seiji Okajima5, Katsuhiko Murakami5, Kunihiko Takamatsu6, Aoi Sugiura7, Shun Shiramatsu8, Xiangyu Zhang8, Kouji Kozaki9 (1. Japan Science and Technology Agency, 2. University of Electro-Communications, 3. NRI digital, Ltd., 4. Nomura Research Institute, Ltd., 5. Fujitsu Laboratories Ltd., 6. Kobe Tokiwa University, 7. Kobe City Nishi-Kobe Medical Center, 8. Nagoya Institute of Technology, 9. Osaka University)

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.