Robert Engels, Michael Erdmann, Rainer Perkuhn, and Rudi Studer
Knowledge Management (KM) is becoming a success factor for industrial organisations. Obtaining control over and gaining information out of data helps to achieve the organisation’s goals more effectively. Thus knowledge (or information) becomes a very important resource. This resource must be adequately procured, stored, processed and communicated. These tasks are central points of Knowledge (and Information) Management which embraces key issues such as knowledge acquisition, data warehouses, data mining, data base management systems, knowledge representation, case-based reasoning, hyper media, workflow management, and decision support systems.