Detail publikace

Multi-aspect Document Content Analysis using Ontological Modelling

Originální název

Multi-aspect Document Content Analysis using Ontological Modelling

Anglický název

Multi-aspect Document Content Analysis using Ontological Modelling

Jazyk

en

Originální abstrakt

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.

Anglický abstrakt

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.

BibTex


@inproceedings{BUT111652,
  author="Martin {Milička} and Radek {Burget}",
  title="Multi-aspect Document Content Analysis using Ontological Modelling",
  annote="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.",
  address="Vydavateľstvo STU",
  booktitle="Proceedings of 9th Workshop on Intelligent and Knowledge Oriented Technologies (WIKT 2014)",
  chapter="111652",
  edition="NEUVEDEN",
  howpublished="print",
  institution="Vydavateľstvo STU",
  year="2014",
  month="november",
  pages="9--12",
  publisher="Vydavateľstvo STU",
  type="conference paper"
}