The paper introduces a knowledge representation language that combines Kowalski's event calculus with description logic in a logic programming framework. The purpose is to provide the user with an expressive language for modelling and analysing systems that evolve over time. The description logic component is intended for modelling structural properties, the event calculus for actions and their consequences, and the logic programming rules for their integration and other aspects, such as diagnosis. By means of an elaborated example, the paper demonstrate the interplay of these three components for computing possible models as plausible explanations of the current state of the modelled system. The approach is prototypically implemented in our logic programming system Fusemate. The paper first extends Fusemate's rule language with a weakly DL-safe interface to the description logic ALCIF (which is implemented in Fusemate itself). It then embeds a suitable version of the event calculus, and provides rules as the “glue” between these components.