The use of different modeling languages in software development makes their integration a must. Most existing integration
approaches are metamodel-based with these metamodels representing both an abstract syntax of the corresponding modeling language
and also a data structure for storing models. This implementation specific focus, however, does not make explicit certain
language concepts, which can complicate integration tasks. Hence, we propose a process which semi-automatically lifts metamodels
into ontologies by making implicit concepts in the metamodel explicit in the ontology. Thus, a shift of focus from the implementation
of a certain modeling language towards the explicit reification of the concepts covered by this language is made. This allows
matching on a solely conceptual level, which helps to achieve better results in terms of mappings that can in turn be a basis
for deriving implementation specific transformation code.
This work has been partly funded by the Austrian Federal Ministry of Transport, Innovation and Technology (BMVIT) and FFG
under grant FIT-IT-810806.