Assistance- and Knowledge-Services for Smart Production

Carsten Ullrich, Matthias Aust, Roland Blach, Michael Dietrich, Christoph Igel, Niklas Kreggenfeld, Denise Kahl, Christopher Prinz, Simon Schwantzer

In: Stefanie Lindstaedt, Tobias Ley, Harald Sack (Hrsg.). Proceedings of the 15th International Conference on Knowledge Technologies and Data-driven Business. International Conference on Knowledge Technologies and Data-driven Business (i-know) ACM 2015.


The transformation towards Smart Manufacturing results in machines that are increasingly complex to use and to maintain, as well as in ever-complicated production processes. Coupled with a continuing reduction of staff, this leads to an increasing demand for information needs and work expertise. At the same time, these challenges offer the opportunity to enhance the employee’s leeway with respect to designing and organizing their work. The project APPsist focuses on how this transformation can be supported technically and organizationally. This paper presents the technical approach: an architecture for intelligent-adaptive assistance and knowledge services. The paper describes how process mapping identified the requirements of the APPsist system, and presents the identified services and their communication, as well as the intelligent-adaptive functionality of the services.


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Ullrich05Assistance.pdf (pdf, 791 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence