Group Highlights | Knowledge Engineering Group (KEG) The Knowledge Engineering Group (KEG) is an informal research group at the University of Economics, Prague. It is centered around the Department of Information and Knowledge Engineering (DIKE) and covers most of its research activities. Knowledge Engineering Group (KEG) Knowledge Engineering Group (KEG) Group Highlight from (2015-11-14) Jindřich Mynarz and Václav Zeman will talk about Czech DBpedia and DB-quiz at the Czech annual Wikimedia conference (page is in Czech). 2015-11-14 Group Highlight from (2015-11-01) Jan Rauch and Milan Šimůnek have been awarded the UEP Rector’s Prize for their book on the LISp-Miner system. 2015-11-01 Group Highlight from (2015-11-01) Marek Dudáš will be awarded the Josef Hlávka Prize for outstanding PhD students and young academics, by the Hlávka Foundation. Congratulations! 2015-11-01 Group Highlight from (2015-10-01 – 2015-10-02) Vojtěch Svátek moderated the panel on PhD research & industrial cooperation, at the annual national database and knowledge engineering conference, Data&Znalosti (pages are in Czech). 2015-10-01 Group Highlight from (2015-09-01) Tomáš Kliegr is starting his 6-month post-doc internship at University of Darmstadt. He will be mainly working with prof. Johannes Fürnkranz in the field of rule/preference learning. 2015-09-01 Group Highlight from (2015-09-01) The LHD dataset developed by our group is available for download as part of the DBpedia 2015 release. 2015-09-01 Group Highlight from (2015-09-01) Out of the 32 poster/demo papers accepted to the SEMANTiCS conference, only six outstanding ones have been selected for the main ACM volume and obtained a Honorary Mention… including both papers authored by SWOE! 2015-09-01 Group Highlight from (2015-09-01 – 2015-12-31) Papers have been presented by the group members at: SEMANTiCS (2 demos: of PCFA tool for ontology-augmented procurement data management from LOD2 WP9a, and of ontology path metrics from COSOL), ODBASE (procurement linked data matchmaking, also from LOD2 WP9a), WOP@ISWC (OBM2OWL transformation patterns), VOILA@ISWC (discovering issues in datasets using visual summaries created in enhanced LODSight), OWLED (OBM2OWL transformation using the OBOWLMorph tool), KEOD (ontology richness analysis using path metrics from COSOL), Data&Znalosti (2 student papers, by P. Hazuza and Š. Turečková). 2015-09-01 Group Highlight from (2015-09-01) David Chudán successfully defended his PhD thesis on Association rule mining as a support for OLAP on September 22. Congratulations! (David remains at the Department, now as project worker and manager funded from 2015-09-01 Group Highlight from (2015-08-03) At the RuleML 2015 conference in Berlin, the DMKD team presented the new EasyMiner/R interface, and Tomáš Kliegr co-chaired the RecSysRules 2015 challenge. 2015-08-03