3:20 PM - 3:40 PM
[1O4-GS-4-01] Report on the Second Knowledge Graph Reasoning Challenge 2019
- Toward the eXplainable AI System -
Keywords:Knowledge Graph, Explainability, Machine Learning, Reasoning
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, which 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 second challenge, an approach based on Abduction and Answer Set Programming, and an approach using Graph Embedding, then their results are evaluated.
Finally, we conclude this paper with the plans and issues for the next challenge in 2020.
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