Diploma in Computer Science
PhD from Univ. of Kaiserslautern
Research Institute for Applied Knowledge Processing, Ulm
DFKI German Research Center for AI, in Kaiserslautern (Researcher in Dept. of Intelligent Engineering Systems, Head of knowledge management department)
Insiders Information Management GmbH Product Manager
University of Applied Sciences Northwestern Switzerland (Professor for Knowledge and Business Engineering,Dean of Business Information Systems)
Witschel, Hans-Friedrich, Nguyen, T. Q., Hinkelmann, Knut
Learning business rules for adaptive process models
In: BUSTECH 2012 (Second International Conference on Business Intelligence and Technology, July 22-27, 2012, Nice, France), 2012
Riss, Uwe, Magenheim, Johannes, Reinhardt, Wolfgang, Nelkner, Tobias, Hinkelmann, Knut
Added Value of Sociofact Analysis for Business Agility
In: AAAI Spring Symposium Series, 2011
Abstract The increasing agility of business requires an accelerated adaptation of organizations to continuously changing conditions. Individual and organizational learning are prominent means to achieve this. Hereby learning is always accompanied by the development of knowledge artifacts. For the entire of learning and artifact development the term knowledge maturing has been introduced recently, which focuses on these three manifestations of knowledge: cognifacts, sociofacts, and artifacts. In this paper we will focus on sociofacts as the subject-bound knowledge manifestation of social actions. Sociofacts are rooted in respective cognifacts play an independent role due to their binding to collective actions and subjects. These are particularly difficult to grasp but play a decisive role for the performance of organizations and the collaboration in there.The presented paper approaches the notion of sociofacts, discusses them on a theoretical level and establishes a first formal notation for sociofacts. We use the case of a merger between two companies to describe the advantages of sociofact analysis for such process. Some sociofact related problems during a merger are described and possible solutions are presented. We identify technical approaches for seizing sociofacts from tool-mediated social interaction and discuss open question for future research.
Brander, Simon, Hinkelmann, Knut, Martin, Andreas, Thönssen, Barbara
Mining of Agile Business Processes
In: Hinkelmann, Knut and Thönssen, Barbara (eds.): Papers from the 2011 AAAI Spring Symposium, AAAI Press, 2011
Witschel, Hans Friedrich, Hu, Bo, Riss, Uwe V., Thönssen, Barbara, Brun, Roman, Martin, Andreas, Hinkelmann, Knut
A Collaborative Approach to Maturing Process-Related Knowledge
In: BPM, 2010, pp. 343-358
Schmidt, Andreas, Hinkelmann, Knut, Ley, Tobias, Lindstaedt, Stefanie, Maier, Ronald, Riss, Uwe
Conceptual Foundations for a Service-oriented Knowledge and Learning Architecture: Supporting Content, Process and Ontology Maturing
In: Schaffert, Sebastian and Tochtermann, Klaus and Pellegrini, Tassilo (eds.): Networked Knowledge - Networked Media: Integrating Knowledge Management, New Media Technologies and Semantic Systems, Springer, 2009
Abstract Effective learning support in organizations requires a flexible and personalized toolset that brings together the individual and the organizational perspective on learning. Such toolsets need a service-oriented infrastructure of reusable knowledge and learning services as an enabler. This contribution focuses on conceptual foundations for such an infrastructure as it is being developed within the MATURE IP and builds on the knowledge maturing process model on the one hand, and the seeding-evolutionary growth-reseeding model on the other hand. These theories are used to derive maturing services, for which initial examples are presented.
Schmidt, Andreas, Hinkelmann, Knut, Lindstaedt, Stefanie, Ley, Tobias, Maier, Ronald, Riss, Uwe
Conceptual Foundations for a Service-Oriented Knowledge & Learning Architecture: Supporting Content, Process, and Ontology Maturing
In: 8th International Conference on Knowledge Management (I-KNOW 08), Graz, 2008
Abstract The knowledge maturing model views learning activities as embedded into, interwoven with, and even indistinguishable from everyday work processes. Learning is understood as an inherently social and collaborative activity. The Knowledge Maturing Process Model structures this process into five phases: expressing ideas, distributing in communities, formalizing, ad-hoc learning and standardization. It is applicable not only for content but also to process knowledge and semantics. In the MATURE IP two toolsets will be develop that support the maturing process: a personal learning environment and an organisation learning environment integrating the levels of individuals, communities and organisation. The development is guided by the SER theory of seeding, evolutionary growth and reseeding and is based on generally applicable maturing services.
Hinkelmann, Knut, Magenheim, Johannes, Reinhardt, Wolfgang, Holzweißig, Kai, Mlynarski, Michael, Nelkner, Tobias
KnowledgeBus – An Architecture to Support Intelligent and Flexible Knowledge Management
In: Creating New Learning Experiences on a Global Scale. Second European Conference on Technology Enhanced Learning, EC-TEL 2007, Crete, Greece, September 17-20, 2007. Proceedings., Lecture Notes in Computer Science vol. 4753, Springer, 2007, pp. 487-492
Abstract MoKEx (Mobile Knowledge Experience) is an international project series focusing on actual challenges in knowledge management and e-learning. The project series is in cooperation with universities and industrial partners in Germany and Switzerland and links communities of practice with the innovative approaches of learning communities. As a result of the recent execution of the project, an architecture was developed that supports the flexible connection of various independent knowledge systems via the so-called KnowledgeBus. This paper introduces the concept of Single Point of Information (SPI) and the KnowledgeBus itself.