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.
- 2013-09-23: 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. See also: Workshop homepage
- 2013-06-19 – 2013-06-21: The local LinkedTV team (led by Tomáš Kliegr) is hosting the plenary meeting of this EU project.
- 2013-04-01: Jan Rauch was appointed as member of the Evaluation Panel for Computer Science, of the Czech Science Foundation (replacing Petr Berka). See also: List of the CSF panels
- 2013-03-13: 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! See also: LISp-Miner homepage, EasyMiner homepage, http://www.springer.com/engineering/computational+intelligence+and+complexity/book/978-3-642-11736-7
- 2013-03-01: 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.
- 2013-02-06: 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. See also: Short 1-year report on the project website
- 2013-01-24: 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. See also: Blogpost on the meeting+talk
- 2012-12-13 – 2012-12-16: 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.
- 2012-12-10 – 2012-12-14: Jerome David from INRIA Rhone-Alps visited us on the basis of the PatOMat project.
- 2012-12-06 – 2012-12-08: We enjoyed a reseach visit by colleagues from Univ. Mannheim - Christian Meilicke and Anne Schlicht. The visit was related to our joint research on ontology matching and transformation, carried out within the CSF Web Semantization and PatOMat projects (on the Czech side).
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.