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The list of all Department’s publications can be obtained from the central publication database of the university, for particular years of publication: 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015

Selection of most prestigious publications of the Department, from recent years:

Kliegr T.: Linked Hypernyms: Enriching DBpedia with Targeted Hypernym Discovery (full text online – open access) J. Web Semantics, Elsevier, in press, 2014.

Dudáš M., Zamazal O., Svátek V.: Roadmapping and Navigating in the Ontology Visualization Landscape. In: EKAW 2014, Linköping, Springer, LNCS 8876, 2014, 137-152. Full paper under 18% acceptance rate.

Nečaský M., Klímek J., Mynarz J., Knap T., Svátek V., Stárka J.: Linked data support for filing public contracts. J. Computers in Industry, Elsevier, Volume 65, Issue 5, June 2014, 862–877.

Scharffe F., Zamazal O., Fensel D.: Ontology alignment design patterns. Knowledge and Information Systems, Springer, Vol. 4, Issue 1, June 2014, 1-28.

Rauch J.: Observational Calculi and Association Rules. Studies in Computational Intelligence, Vol. 469, Springer, 2013.

Nekvasil M., Svátek V.: Towards savvy adoption of semantic technology: From published use cases to category-specific adopter readiness models. J. Web Semantics, Elsevier, Volume 21, August 2013, 61-74.

Dojchinovski M., Kliegr T.: Real-Time Classification of Entities in Text with Wikipedia. In: ECML-PKDD’13, Springer LNCS, 2013.

Kuchař J., Kliegr T.: GAIN: web service for user tracking and preference learning – a smart TV use case. In: RecSys ’13, ACM, 2013.

Rauch J., Šimůnek M.: Learning Association Rules from Data through Domain Knowledge and Automation. In: Rules on the Web (RuleML 2014). Springer LNCS, 2014 .

Berka P.: Learning compositional decision rules using the KEX algorithm. Intelligent Data Analysis, IOS Press, 2012, Vol. 16, No. 4.

Šváb-Zamazal O., Dudáš M., Svátek V.: User-Friendly Pattern-Based Transformation of OWL Ontologies. In: EKAW 2012, Springer, LNCS 7603, 2012, 426-429. Best demo award.