University of KasselKnowledge & Data Engineering Group

Knowledge & Data Engineering Group (KDE), EECS, University of Kassel

The research unit Knowledge & Data Engineering in the Department of Electrical Engineering/Computer Science (EECS) was newly created in connection with the introduction of a course of studies in Computer Science and started on April 1st, 2004 with the establishment of a donated chair of the non-profit Hertie Foundation. The research unit deals with the organizational and technical support of knowledge processes. Our vision is the Ubiquitous Web, where user-generated knowledge from the Web 2.0 and observations of the physical and social environment of the user are integrated, then enriched by means of Knowledge Discovery methods, and finally formalized within the Semantic Web, in order to support the human in all his purposes. The research unit Knowledge & Data Engineering is member in the Interdisciplinary Research Center for Information System Design (ITeG) at the University of Kassel and in the L3S Research Center.

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Our latest publications:

  • Schmidt, A., Stumme, G.: Prominence and Dominance in Networks. In: Faron Zucker, C., Ghidini, C., Napoli, A., and Yannick, T. (eds.) Proceedings of the 21th International Conference on Knowledge Engineering and Knowledge Management (EKAW). pp. 370-385. Springer (2018).
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  • Felde, M., Hanika, T.: Formal Context Generation using Dirichlet Distributions. CoRR. abs/1809.11160, (2018).
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  • Doerfel, S., Hanika, T., Stumme, G.: Clones in Graphs. In: Ceci, M., Japkowicz, N., Liu, J., Papadopoulos, G.A., and Ras, Z.W. (eds.) ISMIS. pp. 56-66. Springer (2018).
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