Group Highlights | Knowledge Engineering Group (KEG) http://keg.vse.cz/group-highlights 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) http://keg.vse.cz/group-highlights#2017-01-23-537901635 Group Highlight from (2017-01-23 – 2017-01-26) Prof. Johannes Fürnkranz from university of Darmstadt will visit the group and teach a guest course on Inductive Rule Learning. 2017-01-23 http://keg.vse.cz/group-highlights#2016-11-30-537901572 Group Highlight from (2016-11-30 – 2016-11-30) The JWS journal paper by T. Kliegr, joint with O. Zamazal (SWOE group) was ranked 3rd in the annual Rector’s award. Congratulations! 2016-11-30 http://keg.vse.cz/group-highlights#2016-11-25-537903261 Group Highlight from (2016-11-25) We hosted a successful plenary meeting of the Horizon 2020 OpenBudgets.eu project, during which the first prototype of the software platform was officially announced. The meeting was preceded by a workshop on open fiscal data processing (in Czech). 2016-11-25 http://keg.vse.cz/group-highlights#2016-11-23-537903198 Group Highlight from (2016-11-23) SPARQLab was awarded the prize for the Best Student Project in the annual Czech OpenData Application contest. See also the article in the University online newsletter. (All materials are currently in Czech.) 2016-11-23 http://keg.vse.cz/group-highlights#2016-10-16-531776483 Group Highlight from (2016-10-16) A new PhD student, Jiří Zettel, is joining the group. He will be supervised by prof. Petr Berka and his topic will be related to data pre-processing for data mining. 2016-10-16 http://keg.vse.cz/group-highlights#2016-10-04-531776503 Group Highlight from (2016-10-04) Tomáš Kliegr will give talk on association rule classification and the EasyMiner system developed by the DMKD group at the IEEE Days at the University of West Bohemia. 2016-10-04 http://keg.vse.cz/group-highlights#2016-10-04-537901474 Group Highlight from (2016-10-04 – 2016-10-04) Tomáš Kliegr gave a talk on association rule classification and the EasyMiner system developed by the DMKD group at the IEEE Days at the University of West Bohemia. 2016-10-04 http://keg.vse.cz/group-highlights#2016-10-01-537901509 Group Highlight from (2016-10-01 – 2016-10-01) The project “Pilot application for distributed analysis of big data” (led by T. Kliegr), funded by the CESNET association, has been successfully defended. 2016-10-01 http://keg.vse.cz/group-highlights#2016-10-01-537901966 Group Highlight from (2016-10-01 – 2016-10-31) The first version of SPARQLab, which is a web-based exercise-book for SPARQL language (authored by J. Mynarz, currently with Czech interface only), has been set up. The individual exercises consist in SPARQL query building according to a textual description. Each exercise is equiped with a an exemplary solution, to which is the student’s solution automatically compared. The current installation is underlain by a real-world RDF dataset (modeled according to the Data Cube Vocabulary) on Czech pension statistics. Topic-wise, the exercises concern both dataset exploration (such as finding out about the dimensions used) and domain-specific analyses (e.g., finding regions with highest disproportion between pensions of men and women. 2016-10-01 http://keg.vse.cz/group-highlights#2016-09-22-531776248 Group Highlight from (2016-09-22) Upon invitation of V. Svátek, Steffen Staab is coming to give a talk at the Prague Computer Science seminar. 2016-09-22