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Statements

Subject Item
n2:RIV%2F00216305%3A26230%2F14%3APU112057%21RIV15-MSM-26230___
rdf:type
skos:Concept n17:Vysledek
dcterms: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.
dcterms:title
Multi-aspect Document Content Analysis using Ontological Modelling Multi-aspect Document Content Analysis using Ontological Modelling
skos:prefLabel
Multi-aspect Document Content Analysis using Ontological Modelling Multi-aspect Document Content Analysis using Ontological Modelling
skos:notation
RIV/00216305:26230/14:PU112057!RIV15-MSM-26230___
n3:aktivita
n14:S n14:P
n3:aktivity
P(ED1.1.00/02.0070), S
n3:dodaniDat
n13:2015
n3:domaciTvurceVysledku
n9:6455409 n9:9487751
n3:druhVysledku
n19:D
n3:duvernostUdaju
n10:S
n3:entitaPredkladatele
n15:predkladatel
n3:idSjednocenehoVysledku
30933
n3:idVysledku
RIV/00216305:26230/14:PU112057
n3:jazykVysledku
n20:eng
n3:klicovaSlova
document modeling, information extraction, page segmentation, content classification, ontology, RDF
n3:klicoveSlovo
n11:document%20modeling n11:ontology n11:information%20extraction n11:page%20segmentation n11:content%20classification n11:RDF
n3:kontrolniKodProRIV
[6265CA845A80]
n3:mistoKonaniAkce
Smolenice
n3:mistoVydani
Smolenice
n3:nazevZdroje
Proceedings of 9th Workshop on Intelligent and Knowledge Oriented Technologies (WIKT 2014)
n3:obor
n6:IN
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n21:ED1.1.00%2F02.0070
n3:rokUplatneniVysledku
n13:2014
n3:tvurceVysledku
Milička, Martin Burget, Radek
n3:typAkce
n4:EUR
n3:zahajeniAkce
2014-11-20+01:00
s:numberOfPages
4
n5:hasPublisher
Slovenská technická univerzita v Bratislave. Vydavateľstvo STU
n18:isbn
978-80-227-4267-2
n16:organizacniJednotka
26230