About the Knowledge Engineering Group
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.
This website should give you a brief overview of the research topics addressed, people involved, participation and coordination of projects, regular research seminars and KEG's publications.
There no presentations planned for the seminars in this moment.
- 2014-10-23: The Prague Computer Science seminar series will continue by the talk of Daniel Kráľ from Univ. of Warwick, on Mathematics and fast algorithms. (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
- 2014-10-14: 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
- 2014-09-26 – 2014-09-27: 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
- 2014-09-11 – 2014-09-12: 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
- 2014-08-18 – 2014-08-20: 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
- 2014-06-01 – 2014-12-31: 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
- 2014-05-25: The second edition of the Linked Data Mining Challenge was co-organized by Vojtěch Svátek in connection with the Know@LOD workshop collocated with the ESWC conference in Crete. (Besides, Vojtěch co-chaired the LOD track at the main ESWC conference.) See also: Challenge website
- 2014-05-21: David Chudán's son, Matěj, was born. Congratulations!
Complete list of history is available as well.
Selected research demos
|I:ZI Miner - mining rich associations from data using a web interface (powered by LISp-Miner)|
|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|
Visit us at our office NB 413, find location by Foursquare venue.
Ontoweb cz page provides information about applied, semantic web and web information extraction research in the area of the Czech Republic.
Semantic Web Pipe is runned to read and syndicate Semantic Web–related weblogs.
Advanced FOAF Explorer tool visualises FOAF profiles.