Tomáš Kliegr, Ph.D. is an associate professor in the Faculty of Informatics and Statistics of the Prague University of Economics and Business, where he works in the Data Mining and Knowledge Discovery group.

University homepage | Office hours | Bio |DBLP| ResearchGate | Google Scholar| email: tomas(dot)kliegr(at)vse(dot)cz

Teaching (Winter 2022/2023)

RuleML Webinars

I organize monthly RuleML Webinars.

Upcoming webinars

2022-11-30. KevinAngele (STI Insbruck). RUBEN: A Rule Engine Benchmarking Framework.

2023-1-25. Christian De Sainte Marie (IBM France)

2023-2-22. Ahmad Mel (Ghent Univ, Belgium). Subjectively Interesting Pattern and Outlier Mining.

Selected past webinars

2022-10-26. Robert Kowalski (Imperial College). Fifty years of Prolog.


Václav Zeman, Tomáš Kliegr and Vojtěch Svátek. RDFRules: Making RDF Rule Mining Easier and Even More Efficient. Semantic Web, vol. 12, no. 4, pp. 569-602, 2021 http://www.semantic-web-journal.net/system/files/swj2398.pdf