This workshop is dedicated to time in case-based reasoning and how time is dealt with in all aspects of it. The literature on case-based reasoning that takes time into account is broad. Still, there are aspects that have not been given much consideration. Reasoning about time drives the complexity of AI systems, but with the increasing amount of streaming and event-based data, this complexity has to be dealt with, also in CBR. The aim is to refocus the CBR community's attention to temporal reasoning, as the focus has moved away lately even though the number of temporal CBR applications is increasing. Several open problems exist in temporal CBR, and these contain among others temporal revise and CBR on data streams.

Three previous workshops on applying case-based reasoning to time series prediction have been organized at ICCBR. This workshop is a continuation - in spirit - to the workshops on applying CBR to time-series prediction that was organized in 2003, 2004 and 2014.

The goal for this workshop is to broaden the focus from time-series prediction only to other aspects of temporal reasoning. We believe that reasoning about time is a central challenge in CBR and that it deserves more attention from the broader community.

We plan both a keynote and a plenum discussion about some important topics related to temporal CBR. The keynote and the topics for the plenum discussion will be posted on this page when setteld.