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  • The significance of uncertainty representation has become obvious in the Semantic Web community recently. This paper presents new results of our research on uncertainty incorporation into ontologies created automatically by means of Human Language Technologies. The research is related to OLE (Ontology LEarning)\footnote{The project's web page can be found at URL: \url{http://nlp.fi.muni.cz/projects/ole/}.} -- a project aimed at bottom-up generation and merging of ontologies. It utilises a proposal of expressive fuzzy knowledge representation framework called {\sf ANUIC} (Adaptive Net of Universally Interrelated Concepts). We discuss our recent achievements in taxonomy acquisition and show how even simple application of the principles of {\sf ANUIC} can improve the results of initial knowledge extraction methods.
  • The significance of uncertainty representation has become obvious in the Semantic Web community recently. This paper presents new results of our research on uncertainty incorporation into ontologies created automatically by means of Human Language Technologies. The research is related to OLE (Ontology LEarning)\footnote{The project's web page can be found at URL: \url{http://nlp.fi.muni.cz/projects/ole/}.} -- a project aimed at bottom-up generation and merging of ontologies. It utilises a proposal of expressive fuzzy knowledge representation framework called {\sf ANUIC} (Adaptive Net of Universally Interrelated Concepts). We discuss our recent achievements in taxonomy acquisition and show how even simple application of the principles of {\sf ANUIC} can improve the results of initial knowledge extraction methods. (en)
Title
  • Imprecise Empirical Ontology Refinement: Application to Taxonomy Acquisition
  • Imprecise Empirical Ontology Refinement: Application to Taxonomy Acquisition (en)
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  • Imprecise Empirical Ontology Refinement: Application to Taxonomy Acquisition
  • Imprecise Empirical Ontology Refinement: Application to Taxonomy Acquisition (en)
skos:notation
  • RIV/00216224:14330/07:00040314!RIV11-AV0-14330___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1ET100300419)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 425752
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14330/07:00040314
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • ontology engineering; ontology learning; taxonomy acquisiton; uncertainty (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [AD877053A7BD]
http://linked.open...v/mistoKonaniAkce
  • Funchal, Madeira, Portugal
http://linked.open...i/riv/mistoVydani
  • Portugal
http://linked.open...i/riv/nazevZdroje
  • Proceedings of ICEIS 2007, vol. Artificial Intelligence and Decision Support Systems
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Nováček, Vít
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • INSTICC
https://schema.org/isbn
  • 978-972-8865-89-4
http://localhost/t...ganizacniJednotka
  • 14330
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