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Description
  • This paper describes the knowledge patterns for the conversion of sentences in natural language into RDF graph language. While creating knowledge base in RDF graph language from sentences expressed in natural language, one must convert words from sentences to nodes and arcs, in RDF graphs. For this conversion, it is important to know which members of a sentence represent particular words. Knowledge patterns are proposed as a tool for conversion of sentences in this paper. In order to capture knowledge patters one can use extended RDF graph language. For the representation of knowledge patterns, further extension of this language is propsed. The paper contains four examples of knowledge patterns and their use.
  • This paper describes the knowledge patterns for the conversion of sentences in natural language into RDF graph language. While creating knowledge base in RDF graph language from sentences expressed in natural language, one must convert words from sentences to nodes and arcs, in RDF graphs. For this conversion, it is important to know which members of a sentence represent particular words. Knowledge patterns are proposed as a tool for conversion of sentences in this paper. In order to capture knowledge patters one can use extended RDF graph language. For the representation of knowledge patterns, further extension of this language is propsed. The paper contains four examples of knowledge patterns and their use. (en)
Title
  • Knowledge patterns for conversion of sentences in natural language into RDF graph language
  • Knowledge patterns for conversion of sentences in natural language into RDF graph language (en)
skos:prefLabel
  • Knowledge patterns for conversion of sentences in natural language into RDF graph language
  • Knowledge patterns for conversion of sentences in natural language into RDF graph language (en)
skos:notation
  • RIV/61988987:17310/11:A15012CU!RIV15-MSM-17310___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S
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
  • 207587
http://linked.open...ai/riv/idVysledku
  • RIV/61988987:17310/11:A15012CU
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Knowledge pattern; RDF graph language; RDF model (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [CB635C4FD422]
http://linked.open...v/mistoKonaniAkce
  • Szczecin, Poland
http://linked.open...i/riv/mistoVydani
  • USA
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the Federated Conference on Computer Science and Information Systems
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Žáček, Martin
  • Miarka, Rostislav
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE Computer Society Press
https://schema.org/isbn
  • 978-1-4577-0041-5
http://localhost/t...ganizacniJednotka
  • 17310
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