The manual adaptation of conceptual models in general and reference models in particular is a time consuming and error prone task, which has to be carefully conducted. The configur...
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
The modal mu-calculus is an expressive logic that can be used to specify safety and liveness properties of concurrent systems represented as labeled transition systems (LTSs). We ...
In this paper we deal with the problem of modeling railway networks with Petri nets so as to apply the theory of supervisory control for discrete event systems to automatically de...
Abstract. Model-based most specific concepts are a non-standard reasoning service in Description Logics. They have turned out to be useful in knowledge base completion for ontologi...