KNOWLEDGE EXTRACTION GUIDED BY ONTOLOGIES - Database Marketing Application

Filipe Mota Pinto, Teresa Guarda

2011

Abstract

The knowledge extraction in large databases has being known as a long term and interactive project. In spite of such complexity and different options for the knowledge achievement, there is a research opportunity that could be explored, throughout the ontologies support. Then this support may be used for knowledge sharing and reuse. This paper describes a research of an ontological approach for leveraging semantic content of ontologies to improve knowledge extraction in a oil company marketing databases. We attain to analyze how ontologies and knowledge discovery process may interoperate and present our efforts to propose a possible framework for a formal integration.

Paper Citation

in Harvard Style

Mota Pinto F. and Guarda T. (2011). KNOWLEDGE EXTRACTION GUIDED BY ONTOLOGIES - Database Marketing Application . In Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-8425-53-9, pages 320-325. DOI: 10.5220/0003555103200325

in Bibtex Style

@conference{iceis11,
author={Filipe Mota Pinto and Teresa Guarda},
title={KNOWLEDGE EXTRACTION GUIDED BY ONTOLOGIES - Database Marketing Application},
booktitle={Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2011},
pages={320-325},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003555103200325},
isbn={978-989-8425-53-9},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - KNOWLEDGE EXTRACTION GUIDED BY ONTOLOGIES - Database Marketing Application
SN - 978-989-8425-53-9
AU - Mota Pinto F.
AU - Guarda T.
PY - 2011
SP - 320
EP - 325
DO - 10.5220/0003555103200325