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Intelligent information systems for knowledge work(ers)

: Althoff, K.-D.; Decker, B.; Hanft, A.; Mänz, J.; Newo, R.; Nick, M.; Rech, J.; Schaaf, M.


Perner, P.:
Advances in data mining. Applications in medicine, web mining, marketing, image and signal mining : 6th Industrial Conference on Data Mining, ICDM 2006, Leipzig, Germany, July 14 - 15, 2006. Proceedings
Berlin: Springer, 2006 (Lecture Notes in Artificial Intelligence 4065)
ISBN: 3-540-36036-0
ISBN: 978-3-540-36036-0
Industrial Conference on Data Mining (ICDM) <6, 2006, Leipzig>
Conference Paper
Fraunhofer IESE ()

Our society needs and expects more high-value services. Such "knowledge-intensive" services can only be delivered if the necessary organizational and technical requirements are fulfilled. In addition, the cost-benefit analysis from the service provider point of view needs to be positive. Continuous improvement and goal-directed (partial) automation of such services is therefore of crucial importance. As a contribution to this we describe our current research vision for (partially) automated support of knowledge work(ers) based on intelligent information systems focusing on the use of experience. For the implementation of such a vision we base on the integration of approaches from artificial intelligence and software engineering. A "deep" integration of case-based reasoning and experience factory is a first successful step in this direction. We envision the further integration of software product-lines and multi-agent systems as the next one.