Publication Details

Multi-aspect Document Content Analysis using Ontological Modelling

MILIČKA Martin and BURGET Radek. Multi-aspect Document Content Analysis using Ontological Modelling. In: Proceedings of 9th Workshop on Intelligent and Knowledge Oriented Technologies (WIKT 2014). Smolenice: Vydavateľstvo STU, 2014, pp. 9-12. ISBN 978-80-227-4267-2.
Type
conference paper
Language
english
Authors
Milička Martin, Ing. (DIFS FIT BUT)
Burget Radek, Ing., Ph.D. (DIFS FIT BUT)
Keywords

document modeling, information extraction, page segmentation, content classification, ontology, RDF

Abstract

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.

Published
2014
Pages
9-12
Proceedings
Proceedings of 9th Workshop on Intelligent and Knowledge Oriented Technologies (WIKT 2014)
Conference
9th Workshop on Intelligent and Knowledge oriented Technologies, Smolenice, SK
ISBN
978-80-227-4267-2
Publisher
Vydavateľstvo STU
Place
Smolenice, SK
BibTeX
@INPROCEEDINGS{FITPUB10724,
   author = "Martin Mili\v{c}ka and Radek Burget",
   title = "Multi-aspect Document Content Analysis using Ontological Modelling",
   pages = "9--12",
   booktitle = "Proceedings of 9th Workshop on Intelligent and Knowledge Oriented Technologies (WIKT 2014)",
   year = 2014,
   location = "Smolenice, SK",
   publisher = "Vydavate\'{l}stvo STU",
   ISBN = "978-80-227-4267-2",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/10724"
}
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