Consideration on Knowledge Graph Building Guidelines for Explanation Generation

A Case Study in Knowledge Graph Reasoning Challenge

Abstract

The “Knowledge Graph Reasoning Challenge” is a technical contest to organize and promote AI technology with explainability. The challenge consists of two tasks: 1) guessing the culprit and 2) explaining the reason for the guess, using a mystery novel represented as a knowledge graph. The knowledge graphs we provide have been improved by adding target novels and considering the contents to be described as knowledge graphs, keeping in mind that they are used for explanation generation. This paper proposes a guideline for constructing knowledge graphs for explanation generation, based on our previous studies. Based on the knowledge graphs of eight short mystery novels published in the Reasoning Challenge, we examined the revision policy of the contents of the knowledge graphs. We made a draft guideline for constructing knowledge graphs consisting of ten items. The guidelines are applied to the eight knowledge graphs, examining their validity. In this presentation, we report the outline of the guideline and the findings obtained by applying it to the knowledge graphs.