The processing, storage, and linking of data and knowledge and their collective and platform-independent use in technology, economy, and sciences is still one of the most important challenges of Computer Science. The chairs of pattern recognition (Inf5), data management (Inf6), artificial intelligence (Inf8), and computer graphics (Inf9) have been addressing these important research areas since their founding.
Current subjects are for instance the knowledge-based analysis of image and image streams (Inf5), the understanding of written and spoken texts and the generation of responses (Inf5, Inf8), the database-supported integration of heterogeneous application systems, the analysis of large integrated data sets with methods of data mining (Inf6), the processing and management of multimedia documents (Inf8, Inf6), the integration of methods and procedures of applied logic, knowledge representation and knowledge processing in multimedia systems and digital libraries (Inf8), the acquisition, discovery, documentation, and utilization of knowledge from different resources, among them experts, documents, and databases (Inf8, Inf6), the visualization of large data sets (Inf9), and in business applications document and workflow management and business intelligence (Inf6).
For all subjects there is a regular interdisciplinary cooperation within the School of Engineering, and in particular with the School of Medicine. The research area participates with projects in the Collaborative Research Centres 539 and 603. Additionally, projects are run with industry (e.g. AUDI) and with consumer and business research (GfK).
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