Prof. Peter Vojtáš


Research topics

  • customer's preference learning
  • web semantization
  • real world challenge, models, methods, experimental prototypes, data (benchmarks), metrics, improvement, real world impact
  • mathematical fuzzy logic programming
  • Boolean algebra of absolutely divergent series with comparison test ordering, see
  • Galois-Tukey connections/reductions, see


NDBI006Query Languages IIlink
NDBI021Customer preferenceslink
NDBI037Information Models with Orderinglink
NSWI108Web Semantizationlink
NSWI121Dissertation Thesis Preparation
NSWI122Dissertation Thesis Preparation
NSWI155Seminar on semantization and preferences I
NSWI156Seminar on semantization and preferences II
NSWI171Challenge Response Framework

Ph.D. studentstop

Current: Štěpán Balcar, M.Sc.

Former: Jan Dědek, M.Sc., Alan Eckhardt, Ph.D., Ladislav Peška, Ph.D.

Supervised thesestop

User preferencesŠtěpán BalcarPh.D.2017
Web page data figure finderDominik JanataMS20152016
Content based Recommendation from Explicit RatingsMatej FerencMS20142016
Semantic annotation and querying RDF dataJakub KýpeťMS20132015
(show all)

Research grantstop

  • Semantization of the Web (GACR P202/10/0761) 2010-2012 head investigator
  • Res Informatica (GACR 201/09/H057) 2009-2012 cooperant
  • Social Network of the Computer Scientists in the Regions of the Czech Republic (EU CZ1.07/2.4.00/12.0039) 2009-2012 head investigator
  • Processing of XML Data (GACR 201/09/0990) 2009-2011 cooperant
  • Modern Methods, Structures and Systems of Computer Science (MSMT MSM0021620838) 2005-2011 cooperant
  • (show all)

Selected publications (complete list)top

  • [Journal (without IF)]Peška L., Vojtáš P.: Using Implicit Preference Relations to Improve Recommender Systems, in Journal on Data Semantics, Vol. 6, Num. 1, ISSN: 1861-2032, pp. 15-30, 2017 - text
  • Peška L., Vojtáš P.: How to Interpret Implicit User Feedback?, in RecSys 2015 Poster Proceeding, Vienna, Austria,, ISSN: 1613-0073, pp. nestránkováno, 2015 - text
  • [Journal (without IF)]Peška L., Lašek I., Eckhardt A., Dědek J., Vojtáš P., Dominik F.: Towards web semantization and user understanding, in Frontiers in Artificial Intelligence and Applications, Vol. 251, Num. January, ISSN: 0922-6389, pp. 63-81, 2013
  • [IF Journal]Dědek J., Vojtáš P., Vomlelová M.: Fuzzy ILP Classification of web reports after linguistic text mining, in Information Processing and Management, Vol. 48, Num. 3, ISSN: 0306-4573, pp. 438-450, 2012 - online
  • [Core A conference]Horváth T., Vojtáš P.: Ordinal Classification with Monotonicity Constraints, in Advances in Data Mining, Applications in Medicine, Web Mining, Marketing, Image and Signal Mining, 6th Industrial Conference on Data Mining, ICDM 2006, Leipzig, Germany, July 14-15, 2006, Proceedings, Springer, ISBN: 3-540-36036-0, pp. 217-225, 2006
  • [IF Journal]Krajči S., Lencses R., Vojtáš P.: A comparison of fuzzy and annotated logic programming, in FUZZY SETS AND SYSTEMS, Vol. 144, Num. 1, ISSN: 0165-0114, pp. 173-192, 2004
  • [IF Journal]Vojtáš P.: Fuzzy logic programming, in FUZZY SETS AND SYSTEMS, Vol. 124, Num. 3, Sp. Iss. SI, ISSN: 0165-0114, pp. 361-370, 2001


CZsem, PrefWork, Semantic Annotator, Tokaf

Additional information


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