DBIS

The Advanced Community Information Systems (ACIS) group supports professional communities with heterogeneous needs by open and responsive community environments. Results of our research are advancing the emerging Web Science discipline by new analysis and engineering methodologies for large-scale and heterogeneous information systems.

Big data is a buzzword that summarizes various aspects of handling large amounts of heterogeneous data. The goals are to perform efficient analytics and to derive new information from large collection of potentially heterogeneous data. The heterogeneity of data is an important issue in big data: data is not only large in volume and produced at a high speed (velocity), it has also a high variety. This research groups applies and extends technologies that have been developed in the context of data integration and model management. Research in model management aims at developing technologies and mechanisms to support the integration, merging, evolution, and matching of complex data models to support the management of complex, integrated, distributed, heterogeneous information systems.

The Cooperation Systems group (CSCW) develops and evaluates groupware and community systems for virtual teams and organizations.

To support and improve design, operating and work processes in plastics and chemical engineering, the Engineering Information Systems group works on fine grained support of cooperative work processes and an approach for metadata based information and knowledge management.