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Description
  • This paper deals with document similarity based on contextual similarity of words occurring in the documents. The method makes it possible to cluster documents in which words with similar meanings occur even though the words and their meanings are not identical. These similarities can be discovered due to context tracing. On the other hand, we can distinguish between homonyms bearing different meanings. Thus the proposed method provides a fine-grained information mining from particular documents. Formal concept analysis helps us better understand the relations between document and determines the contexts through which these relations are realized.
  • This paper deals with document similarity based on contextual similarity of words occurring in the documents. The method makes it possible to cluster documents in which words with similar meanings occur even though the words and their meanings are not identical. These similarities can be discovered due to context tracing. On the other hand, we can distinguish between homonyms bearing different meanings. Thus the proposed method provides a fine-grained information mining from particular documents. Formal concept analysis helps us better understand the relations between document and determines the contexts through which these relations are realized. (en)
Title
  • Formal Concept Analysis and Contextual Document Similarity
  • Formal Concept Analysis and Contextual Document Similarity (en)
skos:prefLabel
  • Formal Concept Analysis and Contextual Document Similarity
  • Formal Concept Analysis and Contextual Document Similarity (en)
skos:notation
  • RIV/47813059:19240/13:#0004819!RIV14-MSM-19240___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • I
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
  • 75495
http://linked.open...ai/riv/idVysledku
  • RIV/47813059:19240/13:#0004819
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Document; similarity; clustering; Formal Concept Analysis; context (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [0EDAF934C8CA]
http://linked.open...v/mistoKonaniAkce
  • Brno,ČR
http://linked.open...i/riv/nazevZdroje
  • MENDEL 2012 International Conference on Soft Computing
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Menšík, Marek
  • Perdek, Michal
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Neuveden
https://schema.org/isbn
  • 978-80-214-4540-6
http://localhost/t...ganizacniJednotka
  • 19240
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