Abstract

Industry and science define traditionally many needs for simulations. So one may ask what can be new in a field that is so well covered over so many years. It is not only the computing hardware that has undergone revolutionary developments. In parallel, software engineering kept pace more and more high-level abstractions make their way into technology, making software systems increasingly powerful. The industry has an increasing need for multidisciplinary simulation, thereby generating demand for an extension towards integrating more different disciplines. Ontologies provide a perfect vehicle for the representation and coupling of knowledge, thus the integration. So the aim is to introduce ontologies on all levels into the larger domain of simulation software systems and construct a generic simulation ontology-based framework. The approach is focused on business-decisions and translation support using layers of simulation tools, including multiscale systems simulations of physics-based models. Latter describes the processing units' internals being coupled with control, optimisation and performance analysis based on ecology and techno-economical criteria.