This article considers the role of machine learning in the Congruence Engine project. The authors propose that while machine learning and open datasets offer opportunities for the project, this will require a pipeline model with iterative stages of human intervention.

Over the past decade we have seen a dramatic increase in the capabilities of machine learning (ML), leading to a real and growing interest in the application and potential for projects such as Congruence Engine. This paper identifies the trends that are most likely to impact projects like Congruence Engine in the future.