Searching for metadata using knowledge bases and topic maps in Spatial Data Infrastructures

Detalhes bibliográficos
Autor(a) principal: Silva, Odilon Corrêa da
Data de Publicação: 2009
Outros Autores: Lisboa-Filho, Jugurta, Braga, José Luís, Borges, Karla A. V.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: LOCUS Repositório Institucional da UFV
Texto Completo: http://dx.doi.org/10.1007/s12145-009-0039-2
http://www.locus.ufv.br/handle/123456789/21726
Resumo: Concern for environmental issues has become a reality in all sectors of society, mainly among researchers and professionals who work directly with environmental status. In this context, several studies have been undertaken on sustainable development of the Brazilian Amazon, generating a large amount of data and information. Environmental area characterization involves the knowledge about their natural, economic and social resources, as well as understanding the interaction and correlation among them. Such interdisciplinary character requires new solutions for knowledge representation. This study proposes to minimize metadata recovery problems in Spatial Data Infrastructures by using Topic Maps and Thesaurus. This approach applied to an interface aims to allow users to visually recover information from metadata catalogs.
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spelling Searching for metadata using knowledge bases and topic maps in Spatial Data InfrastructuresInformation retrieval systemsMetadataSpatial data infrastructureThesauriTopic mapsConcern for environmental issues has become a reality in all sectors of society, mainly among researchers and professionals who work directly with environmental status. In this context, several studies have been undertaken on sustainable development of the Brazilian Amazon, generating a large amount of data and information. Environmental area characterization involves the knowledge about their natural, economic and social resources, as well as understanding the interaction and correlation among them. Such interdisciplinary character requires new solutions for knowledge representation. This study proposes to minimize metadata recovery problems in Spatial Data Infrastructures by using Topic Maps and Thesaurus. This approach applied to an interface aims to allow users to visually recover information from metadata catalogs.Earth Science Informatics2018-09-10T17:30:09Z2018-09-10T17:30:09Z2009-11-27info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlepdfapplication/pdf1865-0481http://dx.doi.org/10.1007/s12145-009-0039-2http://www.locus.ufv.br/handle/123456789/21726engVolume 2, Issue 4, p. 235–247, December 2009Springer-Verlaginfo:eu-repo/semantics/openAccessSilva, Odilon Corrêa daLisboa-Filho, JugurtaBraga, José LuísBorges, Karla A. V.reponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFV2024-07-12T08:23:33Zoai:locus.ufv.br:123456789/21726Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452024-07-12T08:23:33LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv Searching for metadata using knowledge bases and topic maps in Spatial Data Infrastructures
title Searching for metadata using knowledge bases and topic maps in Spatial Data Infrastructures
spellingShingle Searching for metadata using knowledge bases and topic maps in Spatial Data Infrastructures
Silva, Odilon Corrêa da
Information retrieval systems
Metadata
Spatial data infrastructure
Thesauri
Topic maps
title_short Searching for metadata using knowledge bases and topic maps in Spatial Data Infrastructures
title_full Searching for metadata using knowledge bases and topic maps in Spatial Data Infrastructures
title_fullStr Searching for metadata using knowledge bases and topic maps in Spatial Data Infrastructures
title_full_unstemmed Searching for metadata using knowledge bases and topic maps in Spatial Data Infrastructures
title_sort Searching for metadata using knowledge bases and topic maps in Spatial Data Infrastructures
author Silva, Odilon Corrêa da
author_facet Silva, Odilon Corrêa da
Lisboa-Filho, Jugurta
Braga, José Luís
Borges, Karla A. V.
author_role author
author2 Lisboa-Filho, Jugurta
Braga, José Luís
Borges, Karla A. V.
author2_role author
author
author
dc.contributor.author.fl_str_mv Silva, Odilon Corrêa da
Lisboa-Filho, Jugurta
Braga, José Luís
Borges, Karla A. V.
dc.subject.por.fl_str_mv Information retrieval systems
Metadata
Spatial data infrastructure
Thesauri
Topic maps
topic Information retrieval systems
Metadata
Spatial data infrastructure
Thesauri
Topic maps
description Concern for environmental issues has become a reality in all sectors of society, mainly among researchers and professionals who work directly with environmental status. In this context, several studies have been undertaken on sustainable development of the Brazilian Amazon, generating a large amount of data and information. Environmental area characterization involves the knowledge about their natural, economic and social resources, as well as understanding the interaction and correlation among them. Such interdisciplinary character requires new solutions for knowledge representation. This study proposes to minimize metadata recovery problems in Spatial Data Infrastructures by using Topic Maps and Thesaurus. This approach applied to an interface aims to allow users to visually recover information from metadata catalogs.
publishDate 2009
dc.date.none.fl_str_mv 2009-11-27
2018-09-10T17:30:09Z
2018-09-10T17:30:09Z
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 1865-0481
http://dx.doi.org/10.1007/s12145-009-0039-2
http://www.locus.ufv.br/handle/123456789/21726
identifier_str_mv 1865-0481
url http://dx.doi.org/10.1007/s12145-009-0039-2
http://www.locus.ufv.br/handle/123456789/21726
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Volume 2, Issue 4, p. 235–247, December 2009
dc.rights.driver.fl_str_mv Springer-Verlag
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Springer-Verlag
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv pdf
application/pdf
dc.publisher.none.fl_str_mv Earth Science Informatics
publisher.none.fl_str_mv Earth Science Informatics
dc.source.none.fl_str_mv reponame:LOCUS Repositório Institucional da UFV
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str LOCUS Repositório Institucional da UFV
collection LOCUS Repositório Institucional da UFV
repository.name.fl_str_mv LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv fabiojreis@ufv.br
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