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Description
  • Existing methods of information extraction from web documents are usually based on a single aspect of the document or its contents such as the code, textual features or visual features. Due to the great variability of the available online documents, it seems reasonable to combine multiple kinds of analysis in order to use all the available knowledge for identifying a particular information in the document. In this paper, we propose an ontological document model that allows to integrate the results of the analysis of different document aspects. We propose a generic architecture of an information extraction system based on this model and we show its applicability on a practical example.
  • Existing methods of information extraction from web documents are usually based on a single aspect of the document or its contents such as the code, textual features or visual features. Due to the great variability of the available online documents, it seems reasonable to combine multiple kinds of analysis in order to use all the available knowledge for identifying a particular information in the document. In this paper, we propose an ontological document model that allows to integrate the results of the analysis of different document aspects. We propose a generic architecture of an information extraction system based on this model and we show its applicability on a practical example. (en)
Title
  • Multi-aspect Document Content Analysis using Ontological Modelling
  • Multi-aspect Document Content Analysis using Ontological Modelling (en)
skos:prefLabel
  • Multi-aspect Document Content Analysis using Ontological Modelling
  • Multi-aspect Document Content Analysis using Ontological Modelling (en)
skos:notation
  • RIV/00216305:26230/14:PU112057!RIV15-MSM-26230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(ED1.1.00/02.0070), 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
  • 30933
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/14:PU112057
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • document modeling, information extraction, page segmentation, content classification, ontology, RDF (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [6265CA845A80]
http://linked.open...v/mistoKonaniAkce
  • Smolenice
http://linked.open...i/riv/mistoVydani
  • Smolenice
http://linked.open...i/riv/nazevZdroje
  • Proceedings of 9th Workshop on Intelligent and Knowledge Oriented Technologies (WIKT 2014)
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
  • Burget, Radek
  • Milička, Martin
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://purl.org/ne...btex#hasPublisher
  • Slovenská technická univerzita v Bratislave. Vydavateľstvo STU
https://schema.org/isbn
  • 978-80-227-4267-2
http://localhost/t...ganizacniJednotka
  • 26230
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