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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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Description
  • In the World Wide Web, the news and other articles are usually published in complex HTML documents containing many types of additional information that is not explicitly marked. In this paper, we propose a visual information analysis approach to the article discovery in complex HTML documents. We use a classification approach for the identification the important parts of the article within the page and we propose an algorithm for the detection of the article bounds within the page. Finally, we provide the results of an experimental evaluation.
  • In the World Wide Web, the news and other articles are usually published in complex HTML documents containing many types of additional information that is not explicitly marked. In this paper, we propose a visual information analysis approach to the article discovery in complex HTML documents. We use a classification approach for the identification the important parts of the article within the page and we propose an algorithm for the detection of the article bounds within the page. Finally, we provide the results of an experimental evaluation. (en)
Title
  • Visual Area Classification for Article Identification in Web Documents
  • Visual Area Classification for Article Identification in Web Documents (en)
skos:prefLabel
  • Visual Area Classification for Article Identification in Web Documents
  • Visual Area Classification for Article Identification in Web Documents (en)
skos:notation
  • RIV/00216305:26230/10:PU89585!RIV11-MSM-26230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • S, Z(MSM0021630528)
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
  • 295799
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26230/10:PU89585
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • article extraction, document cleaning, page segmentation, visual analysis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [A59558CEDDBC]
http://linked.open...v/mistoKonaniAkce
  • Bilbao
http://linked.open...i/riv/mistoVydani
  • Bilbao
http://linked.open...i/riv/nazevZdroje
  • 21st International Workshop on Databases and Expert Systems Applications
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Burget, Radek
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE Computer Society
https://schema.org/isbn
  • 978-0-7695-4174-7
http://localhost/t...ganizacniJednotka
  • 26230
is http://linked.open...avai/riv/vysledek of
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