Faculty of Informatics and Statistics, Department of Information and Knowledge Engineering (DIKE)

About the Knowledge Engineering Group

The Knowledge Engineering Group (KEG) is an informal research meta-group at the University of Economics, Prague. It overarches the research activities of the Department of Information and Knowledge Engineering (DIKE), i.e. of its four recently formed workgroups having their own websites:

Most of the KEG website is no longer updated and reflects the situation in 2008. Regularly updated is however the log of group highlights (the 10 most recent being in the News section below) and the calendar of KEG seminars (including the abstracts and slides of talks). Other kinds of information are assumed to appear at the workgroup websites.


There no presentations planned for the seminars in this moment. (Complete calendar is here.)


Complete list of history is available as well.

Selected research demos

EasyMiner - mining rich associations from data using a web interface
LISp-Miner - stand-alone tool for rich association discovery
THD - targeted hypernym discovery, using Wikipedia articles in a live setting
PatOMat tools - a collection of tools enabling pattern-based ontology transformation (within the OWL language) and related tasks

See also

Visit us at our office NB 413, find location by Foursquare venue.

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