Systems biology is an approach to biology that emphasizes the
structure and dynamic behavior of biological systems and the
interactions that occur within them. To succeed, systems biology
crucially depends on the accessibility and integration of data across
domains and levels of granularity. Biomedical ontologies were
developed to facilitate such an integration for data and are often
used to annotate biosimulation models in systems biology.
Here, I present an approach towards combining both disciplines in a common framework that enables information to flow between both.