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Most of the KEG website is no longer updated and reflects the situation in 2008.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.)


  • 2014-12-11: The Prague Computer Science seminar series will continue by the talk of Carmen Domshlak from Technion, Izrael, on Unsupervised Heuristic Decision Making. (The seminar takes place at CU/CTU. It is advertised here because Vojtěch Svátek is member of the preparatory committee of the seminar.) See also: Seminar page
  • 2014-11-24: The paper on the Linked Hypernym Dataset, by Tomáš Kliegr, has been accepted to Elsevier's Journal of Web Semantics. See also: Article page on preprint server
  • 2014-11-03: In the Annual Rector's Award for best publications in 2014, Jindřich Mynarz's paper from EC-Web conference placed 2nd in the PhD student work category. See also: Award announcement
  • 2014-10-14: The Linked Hypernym Dataset (LHD), a large collection of type assignments to RDF entities built by THD tool co-developed by Tomáš Kliegr, has been integrated into the official version of German DBpedia. See also: Announcement at de.dbpedia.org, LHD dataset page
  • 2014-10-13: Jindřich Mynarz started a 2,5-month PhD internship at the Information Systems Laboratory of the Polytechnic University of Bari (upon invitation from Dr. Tommaso Di Noia). The internship is focused on combining the linked data technology with recommendation/matchmaking techniques. See also: SisInf Lab homepage
  • 2014-09-262014-09-27: The 13th edition of the Czecho-Slovak knowledge technology conference, Znalosti, was co-chaired by Vojtěch Svátek and Ondřej Zamazal. It was probably the last edition, as from 2015 on, there will be a new conference combining the topics of Znalosti and Datakon (the Czecho-Slovak database conference). This witnesses the constant assimilation of database and knowledge/semantic technologies in the last decade. See also: Znalosti website, Datakon website
  • 2014-09-112014-09-12: The EU LOD2 Integrated project, where the team led by V. Svátek was responsible for the Public Procurement Linked Data use case, was concluded by a successful final review. The rating of the project eventually was 'Excellent Progress' (i.e., the best possible). See also: LOD2 project website
  • 2014-08-182014-08-20: At the RuleML conference collocated with ECAI 2014, Tomáš Kliegr co-organized a Special Track on 'Learning (Business) Rules from Data'. See also: Special Track page
  • 2014-07-01: Article on 'Ontology alignment design patterns', co-autored by O. Zamazal, was published in Knowledge and Information Systems (Springer, IF=2.64). See also: http://link.springer.com/article/10.1007%2Fs10115-013-0633-y
  • 2014-06-012014-12-31: Major conference publications by SWOE group in the 2nd half of 2014: full paper at EKAW (Springer LNCS); full paper and short paper at EC-web (Springer LNBIP). Besides, the SWOE and DMKD members co-authored two chapters of the `LOD2' book (also LNCS). See also: Knowledge Engineering Group, SWOE group page, LOD2 book announcement

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

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