Knowledge graphs as tools for explainable machine learning: A survey

作者:

摘要

This paper provides an extensive overview of the use of knowledge graphs in the context of Explainable Machine Learning. As of late, explainable AI has become a very active field of research by addressing the limitations of the latest machine learning solutions that often provide highly accurate, but hardly scrutable and interpretable decisions.

论文关键词:Explainable systems,Knowledge graphs,Explanations,Symbolic AI,Subsymbolic AI,Neuro-symbolic integration,Explainable AI

论文评审过程:Received 1 May 2020, Revised 12 October 2021, Accepted 18 October 2021, Available online 25 October 2021, Version of Record 16 November 2021.

论文官网地址:https://doi.org/10.1016/j.artint.2021.103627