The amount of complex, heterogeneous biomedical knowledge to be learnt by medical students, to be applied in the clinical practice, and to be further developed by medical research is growing rapidly. There is an increasing demand for applying computer-based knowledge management and decision support in medicine. We are investigating and developing methods and tools for acquiring, formally representing, processing, and distributing medical knowledge.
Symbolic, i.e. formal logics based, techniques are combined with algorithmic optimization, text mining, and machine learning approaches. The operationalization of medical terminology systems, classifications, and ontologies plays an important role in reducing semantic gaps. Social Semantic Web Technologies are explored in order to collaboratively maintain and revise medical knowledge bases and information repositories.
Projects of the department include medical decision support as well as support of medical teaching, learning, and curricular management.