{"id":2401,"date":"2017-11-24T19:11:03","date_gmt":"2017-11-24T18:11:03","guid":{"rendered":"https:\/\/www.kde.cs.uni-kassel.de\/hestia-front"},"modified":"2025-09-22T08:45:26","modified_gmt":"2025-09-22T06:45:26","slug":"hestia-front-2","status":"publish","type":"page","link":"https:\/\/www.kde.cs.uni-kassel.de\/en\/","title":{"rendered":"Front Page"},"content":{"rendered":"
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Knowledge & Data Engineering Group (KDE)<\/a>, EECS<\/a>, University of Kassel<\/a><\/h2>\n\n\n\n
\n\nThe research unit Knowledge & Data Engineering at the Department of Electrical Engineering\/Computer Science<\/a> is developing methods for knowledge discovery and representation (approximation and exploration of knowledge, order structures in knowledge, ontology learning) and for the analysis of (social) networks and related knowledge processes (metrics in networks, anomaly detection, characterization of social networks).\nOur focus is on the exact algebraic modelling of structures in knowledge and networks. Our research on foundations in order and lattice theory, description logics, graph theory and ontologies is complemented by applications in social media and scientometrics. The research unit Knowledge & Data Engineering is member in the Interdisciplinary Research Center for Information Systems Design (ITeG)<\/a> and the International Centre for Higher Education Research (INCHER Kassel)<\/a> at the University of Kassel, and in the Hessian Center for Artificial Intelligence (hessian.AI).<\/a>\n\n\n\n\n\n\n

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Our latest publications<\/h3>\n\n\n\n\n<\/div> \n