PI: Stefan Schulz
Focus: The focus of the group is on semantic data modelling of data from science and clinical practice. Two paths are pursued: the construction of symbolic knowledge by experts on the one hand, and automatic knowledge acquisition using machine learning on the other hand. In the former case, data are standardized by terminologies, ontologies and information models, in the latter case semantics is expressed by probabilistic and neural models. Most of the data is only available as text, which explains the focus set on text mining methods. The standardized data extracts obtained support document research, data analysis and clinical decision-making.
Networking: Currently important cooperation partners of the team are KAGes and CBmed, Graz, ELGA GmbH Vienna, as well as Roche Diagnostics (Basel and Belmont). In Germany, there are close contacts with the text mining company Averbis GmbH, Freiburg, EMPIRICA GmbH, Bonn, the Universities of FreiburgandTU Munich, the University of Jena, the Charité Berlin and DFKI Saarbrücken. Global contacts exist through active participation in the standardization organizations SNOMED International and HL-7. Current collaborations with colleagues from the universities of Trondheim, Murcia, Bordeaux, Ljubljana, Buffalo, the Bern University of Applied Sciences and the PUCPR (Brazil) should also be emphasized.
