Machine learning has promoted the application of artificial intelligence (AI) techniques to a wide variety of social problems. Accordingly, being able to explain the reason for an AI decision is becoming important to ensure the secure and safe use of AI techniques. On this background, for example, the Knowledge Graph Reasoning Challenge (KGRC) has been organized from 2018^{*, **}. It aims to promote techniques for explainable AI using knowledge graphs.

In this workshop we would like to discuss a wider variety of knowledge graph reasoning technologies for explainable AI in various domains. Although one typical topic is to solve mystery stories in the KGRC, knowledge graphs and related technologies in other domains are also welcome.

*Kawamura T. et al. (2020) Report on the First Knowledge Graph Reasoning Challenge 2018. In: Wang X., Lisi F., Xiao G., Botoeva E. (eds) Semantic Technology. JIST 2019. Lecture Notes in Computer Science, vol 12032. Springer, Cham.

**International Knowledge Graph Reasoning Challenge (IKGRC2023) co-located with IEEE ICSC2023

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference.

Submissions must be formatted in the style of CEURART 1-column style. The title should use the emphasizing capitalized style and the paper should not include page numbers.

Submissions must be 8-16 pages, including references. (Short papers: 8 pages, Long papers: 16 pages)

At least one author of each accepted paper must register for the IJCKG conference and present the paper in the workshop.

Papers can be submitted electronically via EasyChair.

Accepted papers will be published on the workshop website. After the conference, the papers will be proposed for publishing at CEUR Workshop Proceedings. Papers for which authors do not register and present may be excluded from the proceedings.

Committees

Program Committee

• Kouji Kozaki, Osaka Electro-Communication University, Japan

• Takahiro Kawamura, National Agriculture and Food Research Organization, Japan

• Shusaku Egami, National Institute of Advanced Industrial Science and Technology, Japan

• Ken Fukuda, National Institute of Advanced Industrial Science and Technology, Japan

• Kyoumoto Matsushita, Fujitsu, Japan

• Takanori Ugai, Fujitsu, Japan

Organizing committee

• Shusaku Egami, Natioanl Institute of Advanced Industrial Science and Technology, Japan

• Kouji Kozaki, Osaka Electro-Communication University, Japan

• Takahiro Kawamura, National Agriculture and Food Research Organization, Japan

• Boris Villazón-Terrazas, EY, Spain

• Marut Buranarach, National Electronics and Computer Technology Center, Thailand

Contact

kgr4xai@knowledge-graph.jp