Multi-aspect Document Content Analysis using Ontological Modelling
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F14%3APU112057" target="_blank" >RIV/00216305:26230/14:PU112057 - isvavai.cz</a>
Result on the web
<a href="http://www.fit.vutbr.cz/research/pubs/all.php?id=10724" target="_blank" >http://www.fit.vutbr.cz/research/pubs/all.php?id=10724</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Multi-aspect Document Content Analysis using Ontological Modelling
Original language 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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: IT4Innovations Centre of Excellence</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of 9th Workshop on Intelligent and Knowledge Oriented Technologies (WIKT 2014)
ISBN
978-80-227-4267-2
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
9-12
Publisher name
Vydavateľstvo STU
Place of publication
Smolenice
Event location
Smolenice
Event date
Nov 20, 2014
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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