The research of the ROSEN-Group-Endowed Chair of Semantic Information Systems and the according research group, headed by Prof. Dr. Martin Atzmueller, centers around Artificial Intelligence and Data Science. Its major focus is on machine learning and data mining on complex data such as graphs, networks, and temporal data, also with a human-centered perspective.

Overall, our work focuses on how to 'make sense' of complex information and knowledge processes - leveraging the massive amounts of data collected in science and industry by intelligent analytics and semantic interpretation. For instance, this includes the identification of interesting/exceptional patterns and structures, predictive  modeling, analysis and exploration of complex heterogeneous and multi-modal data, as well as human-centered decision support.

By connecting computational approaches with the human cognitive, behavioral, and social contextual perspectives - thus linking technologies with their users - our goal is to augment human intelligence and to assist human actors in all their purposes, both online and in the physical world.