APPLYING ONTOLOGIES IN THE KNOWLEDGE DISCOVERY IN GEOGRAPHIC DATABASES

Guillermo Nudelman Hess, Cirano Iochpe

Abstract

This article proposes a software architecture to integrate geographic databases conceptual models. The goal is the preprocessing phase on the knowledge discovery in database, using geographic databases conceptual schemas as input data, in order to obtain analysis patterns candidates. The semantic unification is very important in this process, since the data mining tools are not capable to recognize synonyms neither to distinguish between homonymous. In this way a methodology to refer the knowledge basis was developed.

References

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Paper Citation


in Harvard Style

Nudelman Hess G. and Iochpe C. (2004). APPLYING ONTOLOGIES IN THE KNOWLEDGE DISCOVERY IN GEOGRAPHIC DATABASES . In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 3: ICEIS, ISBN 972-8865-00-7, pages 509-512. DOI: 10.5220/0002634505090512


in Bibtex Style

@conference{iceis04,
author={Guillermo Nudelman Hess and Cirano Iochpe},
title={APPLYING ONTOLOGIES IN THE KNOWLEDGE DISCOVERY IN GEOGRAPHIC DATABASES},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 3: ICEIS,},
year={2004},
pages={509-512},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002634505090512},
isbn={972-8865-00-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 3: ICEIS,
TI - APPLYING ONTOLOGIES IN THE KNOWLEDGE DISCOVERY IN GEOGRAPHIC DATABASES
SN - 972-8865-00-7
AU - Nudelman Hess G.
AU - Iochpe C.
PY - 2004
SP - 509
EP - 512
DO - 10.5220/0002634505090512