KNOWLEDGE EXTRACTION GUIDED BY ONTOLOGIES - Database Marketing Application

Filipe Mota Pinto; Teresa Guarda

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Paper

KNOWLEDGE EXTRACTION GUIDED BY ONTOLOGIES - Database Marketing Application

Topics: Coupling and Integrating Heterogeneous Data Sources

In Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 2: ICEIS, 320-325, 2011 , Beijing, China

Authors: Filipe Mota Pinto ¹ and Teresa Guarda ²

Affiliations: ¹ Politechnic Institute of Leiria, Portugal ; ² Superior Institute of Languages and Administration of Leiria, Portugal

Keyword(s): Ontologies, Knowledge Discovery, Databases, Data Mining.

Related Ontology Subjects/Areas/Topics: Coupling and Integrating Heterogeneous Data Sources ; Databases and Information Systems Integration ; Enterprise Information Systems

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.

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Paper citation in several formats:

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 2: ICEIS; ISBN 978-989-8425-53-9; ISSN 2184-4992, SciTePress, pages 320-325. DOI: 10.5220/0003555103200325

@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 2: ICEIS},
year={2011},
pages={320-325},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003555103200325},
isbn={978-989-8425-53-9},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Enterprise Information Systems - Volume 2: ICEIS
TI - KNOWLEDGE EXTRACTION GUIDED BY ONTOLOGIES - Database Marketing Application
SN - 978-989-8425-53-9
IS - 2184-4992
AU - Mota Pinto, F.
AU - Guarda, T.
PY - 2011
SP - 320
EP - 325
DO - 10.5220/0003555103200325
PB - SciTePress