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Brazilian Symposium on Artificial Intelligence

SBIA 2002: Advances in Artificial Intelligence pp 291–301Cite as

Applying the Process of Knowledge Discovery in Databases to Identify Analysis Patterns for Reuse in Geographic Database Design

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2507))

Abstract

Little support has been offered by geographic information systems (GIS) suppliers to reduce the complexity of geographic database (GDB) design. Design specialists [1] suggest that naive designers try to reuse at least parts of already existent, successful database schemes to reduce the effort that has to be invested in new projects. This so-called analysis patterns approach [2], [3] has a widespread acceptance in the area of software engineering. Although very promising, the use of analysis patterns in GDB design is yet very restrict. The main problem is the lack of a well known as well as globally accepted set of patterns for database design. This paper proposes the identification of analysis patterns on the basis of the Process of Knowledge Discovery in Databases (KDD). KDD supports the processing of a huge volume of database schemas and can help reducing the dependency on the subjective analysis of human specialists.

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Author information

Authors and Affiliations

  1. Institute de Informática da UFRGS, Av. Bento Gonçalves, no.9500, bloco 4. Agronomia. 91, 501-970, Porto Alegre, RS

    Carolina Silva, Cirano Iochpe & Paulo Engel

Authors
  1. Carolina Silva
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  2. Cirano Iochpe
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  3. Paulo Engel
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Editor information

Editors and Affiliations

  1. Departamento de Automação e Sistemas, Universidade Federal de Santa Catarina, 88040-900, Florianópolis, SC, Brazil

    Guilherme Bittencourt

  2. Centro de Informática, Universidade Federal de Pernambuco, Cx. Postal 7851, 50732-970, Recife, PE, Brazil

    Geber L. Ramalho

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© 2002 Springer-Verlag Berlin Heidelberg

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Silva, C., Iochpe, C., Engel, P. (2002). Applying the Process of Knowledge Discovery in Databases to Identify Analysis Patterns for Reuse in Geographic Database Design. In: Bittencourt, G., Ramalho, G.L. (eds) Advances in Artificial Intelligence. SBIA 2002. Lecture Notes in Computer Science(), vol 2507. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36127-8_28

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  • DOI: https://doi.org/10.1007/3-540-36127-8_28

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00124-9

  • Online ISBN: 978-3-540-36127-5

  • eBook Packages: Springer Book Archive

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