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Prospects and limitations in the context of knowledge discovery in database for manipulation of domains through ontologies to support the modeling of data warehouse -Case study in social databases

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2 Author(s)
Adriana Costa Monteiro ; Instituto de Ciências Exatas e Informática, Pontifícia Universidade Católica de Minas Gerais, PUCMinas, Belo Horizonte, Brasil ; Luis Enrique Zárate Gálvez

Organizations use the techniques of data warehouse and knowledge discovery in databases to generate useful information to support their strategic decisions. These techniques, if properly combined, can offer a broad knowledge of business domain treaty. This paper proposes the use of ontology to organize and categorize the relevant data from the field of social vulnerability. With the exploration of this area will evaluate the prospects and limitations of using ontology as a basis for a model of data warehouse in relation to the wider area treated. Data on social vulnerability will be extracted from the foundations of social systems and CADUNICO and SIAB, which are made available by the federal government, Brazil and after implementation of this work will be possible to demonstrate new knowledge about the interrelationship between the systems in order to facilitate the view of the impacts that a government sector can have on other sectors.

Published in:

Informatica (CLEI), 2012 XXXVIII Conferencia Latinoamericana En

Date of Conference:

1-5 Oct. 2012