Ontology-based Framework to Image Mining

Sara Colantonio, I. Gurevich, Gabriele Pieri, Ovidio Salvetti, Yulia Trusova

2009

Abstract

A novel knowledge-based approach for supporting image processing and analysis is presented as well as its use within a framework for image mining. Modern approaches to knowledge representation, ontologies and reasoning, have been combined with techniques for image processing, analysis and understanding within a semantic framework able to support the extraction of novel knowledge for image collections.

References

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  2. Beloozerov, V.N., Gurevich, I.B., Gurevich, N.G., Murashov, D.M., Trusova, Yu.O.: Thesaurus for Image Analysis: Basic Version. Int. J. Pattern Recognition and Image Analysis: Advances in Mathematical Theory and Applications. MAIK "Nauka/Interperiodica", Moscow 13 (4) (2003) 556-569
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Paper Citation


in Harvard Style

Colantonio S., Gurevich I., Pieri G., Salvetti O. and Trusova Y. (2009). Ontology-based Framework to Image Mining . In Proceedings of the 2nd International Workshop on Image Mining Theory and Applications - Volume 1: Workshop IMTA, (VISIGRAPP 2009) ISBN 978-989-8111-80-7, pages 11-19. DOI: 10.5220/0001962600110019


in Bibtex Style

@conference{workshop imta09,
author={Sara Colantonio and I. Gurevich and Gabriele Pieri and Ovidio Salvetti and Yulia Trusova},
title={Ontology-based Framework to Image Mining},
booktitle={Proceedings of the 2nd International Workshop on Image Mining Theory and Applications - Volume 1: Workshop IMTA, (VISIGRAPP 2009)},
year={2009},
pages={11-19},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001962600110019},
isbn={978-989-8111-80-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Workshop on Image Mining Theory and Applications - Volume 1: Workshop IMTA, (VISIGRAPP 2009)
TI - Ontology-based Framework to Image Mining
SN - 978-989-8111-80-7
AU - Colantonio S.
AU - Gurevich I.
AU - Pieri G.
AU - Salvetti O.
AU - Trusova Y.
PY - 2009
SP - 11
EP - 19
DO - 10.5220/0001962600110019