Knowledge discovery in spatial databases: the PADRÃO’s qualitative approach
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Data de Publicação: | 2000 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/5572 |
Resumo: | Knowledge discovery in databases is a complex process concerned with the discovery of relationships and other descriptions from data. Knowledge discovery in spatial databases represents a particular case of discovery, allowing the discovery of relationships that exist between spatial and non-spatial data, and other data characteristics that aren’t explicitly stored in spatial databases. This paper describes the conception and implementation of PADRÃO, a system for knowledge discovery in spatial databases. PADRÃO presents a new approach to this process, which is based on qualitative spatial reasoning. The spatial semantic knowledge and the principles of qualitative spatial reasoning needed for the spatial reasoning process are available in the PADRÃO’s geographic database and PADRÃO’s spatial knowledge base, allowing the integration of the geo-spatial component, associated with the analysed non-geographic data, in the process of knowledge discovery. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Knowledge discovery in spatial databases: the PADRÃO’s qualitative approachKnowledge discovery in databases is a complex process concerned with the discovery of relationships and other descriptions from data. Knowledge discovery in spatial databases represents a particular case of discovery, allowing the discovery of relationships that exist between spatial and non-spatial data, and other data characteristics that aren’t explicitly stored in spatial databases. This paper describes the conception and implementation of PADRÃO, a system for knowledge discovery in spatial databases. PADRÃO presents a new approach to this process, which is based on qualitative spatial reasoning. The spatial semantic knowledge and the principles of qualitative spatial reasoning needed for the spatial reasoning process are available in the PADRÃO’s geographic database and PADRÃO’s spatial knowledge base, allowing the integration of the geo-spatial component, associated with the analysed non-geographic data, in the process of knowledge discovery.Universidade do MinhoSantos, Maribel YasminaAmaral, Luís2000-112000-11-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/5572eng"Cities and Regions". ISSN 1568-167X. Special issue (Nov.2000) 33-49.1568-167Xinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:20:04ZPortal AgregadorONG |
dc.title.none.fl_str_mv |
Knowledge discovery in spatial databases: the PADRÃO’s qualitative approach |
title |
Knowledge discovery in spatial databases: the PADRÃO’s qualitative approach |
spellingShingle |
Knowledge discovery in spatial databases: the PADRÃO’s qualitative approach Santos, Maribel Yasmina |
title_short |
Knowledge discovery in spatial databases: the PADRÃO’s qualitative approach |
title_full |
Knowledge discovery in spatial databases: the PADRÃO’s qualitative approach |
title_fullStr |
Knowledge discovery in spatial databases: the PADRÃO’s qualitative approach |
title_full_unstemmed |
Knowledge discovery in spatial databases: the PADRÃO’s qualitative approach |
title_sort |
Knowledge discovery in spatial databases: the PADRÃO’s qualitative approach |
author |
Santos, Maribel Yasmina |
author_facet |
Santos, Maribel Yasmina Amaral, Luís |
author_role |
author |
author2 |
Amaral, Luís |
author2_role |
author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Santos, Maribel Yasmina Amaral, Luís |
description |
Knowledge discovery in databases is a complex process concerned with the discovery of relationships and other descriptions from data. Knowledge discovery in spatial databases represents a particular case of discovery, allowing the discovery of relationships that exist between spatial and non-spatial data, and other data characteristics that aren’t explicitly stored in spatial databases. This paper describes the conception and implementation of PADRÃO, a system for knowledge discovery in spatial databases. PADRÃO presents a new approach to this process, which is based on qualitative spatial reasoning. The spatial semantic knowledge and the principles of qualitative spatial reasoning needed for the spatial reasoning process are available in the PADRÃO’s geographic database and PADRÃO’s spatial knowledge base, allowing the integration of the geo-spatial component, associated with the analysed non-geographic data, in the process of knowledge discovery. |
publishDate |
2000 |
dc.date.none.fl_str_mv |
2000-11 2000-11-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/5572 |
url |
http://hdl.handle.net/1822/5572 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
"Cities and Regions". ISSN 1568-167X. Special issue (Nov.2000) 33-49. 1568-167X |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
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reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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1777303732861534208 |