An Approach to Knowledge Graph Completion based on Discussion Agents using IBIS Structure

Abstract

Knowledge Graph Completion Challenge 2018, a competition of interpretable AI systems to solve crime story, was held and we participated in it. Our approach is based on discussion agents using IBIS (issue-based information system), a kind of discussion structures. This paper is a part achievement of the design architecture. We design two types of agents: a discussion agent and a facilitation agent. The discussion agents generate hypotheses about the criminate. The facilitator agent ask questions to clarify the detail of the hypotheses. To manage the discussion on the hypotheses, IBIS structure is suitable because it has better interpretability. This approach based on the hypothesis generation has a possibility to be also utilized in the real-world discussion support.