Publication detail

Multi-aspect Document Content Analysis using Ontological Modelling

MILIČKA, M. BURGET, R.

Original Title

Multi-aspect Document Content Analysis using Ontological Modelling

Type

article in a collection out of WoS and Scopus

Language

English

Original 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.

Keywords

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

Authors

MILIČKA, M.; BURGET, R.

RIV year

2014

Released

20. 11. 2014

Publisher

Vydavateľstvo STU

Location

Smolenice

ISBN

978-80-227-4267-2

Book

Proceedings of 9th Workshop on Intelligent and Knowledge Oriented Technologies (WIKT 2014)

Pages from

9

Pages to

12

Pages count

4

URL

https://www.fit.vut.cz/research/publication/10724/

BibTex

@inproceedings{BUT111652,
  author="Martin {Milička} and Radek {Burget}",
  title="Multi-aspect Document Content Analysis using Ontological Modelling",
  booktitle="Proceedings of 9th Workshop on Intelligent and Knowledge Oriented Technologies (WIKT 2014)",
  year="2014",
  pages="9--12",
  publisher="Vydavateľstvo STU",
  address="Smolenice",
  isbn="978-80-227-4267-2",
  url="https://www.fit.vut.cz/research/publication/10724/"
}

Documents

wikt_burget.pdf