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#2013-09-23-421684712 The Workshop on Data Mining on Linked Data (DMoLD'13), with Linked Data Mining Challenge, will be held during the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2013, in Prague, with P. Berka and V. Svátek among the co-chairs. 2013-09-23 http://keg.vse.cz/group-highlights#2013-09-19-427216466 Dr. Fazel Famili from NRC, Ottawa, Canada, will visit our group and give a course on the applied perspective of Knowledge Discovery and Management 2013-09-19 http://keg.vse.cz/group-highlights#2013-06-19-424541426 The local LinkedTV team (led by Tomáš Kliegr) is hosting the plenary meeting of this EU project. 2013-06-19 http://keg.vse.cz/group-highlights#2013-04-01-424541261 Jan Rauch was appointed as member of the Evaluation Panel for Computer Science, of the Czech Science Foundation (replacing Petr Berka). 2013-04-01 http://keg.vse.cz/group-highlights# The book 'Observational Calculi and Association Rules', authored by Jan Rauch, was published by Springer in the 'Studies in Computational Intelligence' series. Congratulations to this marvellous achievent, which collects the numerous theoretical results underlying, among other, the LISp-Miner and EasyMiner tools! 2013-03-13 http://keg.vse.cz/group-highlights#2013-03-01-417871650 A new three-year project of the Internal Grant Agency of UEP "Research of factors affecting applicability of association rule mining algorithms", led by Tomáš Kliegr, is starting. The project aims to identify factors that limit applications of association rules. The research will focus particularly on the analysis of differences between association rule learning and the commercially more successful Online Analytical Processing (OLAP). The project involves experiments using the Easy Miner and LISp-Miner systems developed at UEP. These systems will be modified on the basis of research findings. 2013-03-01 http://keg.vse.cz/group-highlights#2013-02-06-418153177 The EU LinkedTV project completed its first year and underwent the annual review. A number of important research results in the intersection of web and TV fields has been achieved. 2013-02-06 http://keg.vse.cz/group-highlights#2013-01-24-424541673 Jindřich Mynarz (as emissary of the EU LOD2 project) gave an invited talk on applying Linked Open Data to public procurement, within the the EU Public Sector Information Group meeting on the EC premises in Luxembourg. 2013-01-24 http://keg.vse.cz/group-highlights#2012-12-13-424539118 We enjoyed a very inspiring visit by Robert Stevens from the Bio-Health Informatics group at University of Manchester. Plans for joint research related to ontology patterns were set up. 2012-12-13 http://keg.vse.cz/group-highlights#2012-12-10-424539012 Jerome David from INRIA Rhone-Alps visited us on the basis of the PatOMat project. 2012-12-10