Searching for metadata using knowledge bases and topic maps in Spatial Data Infrastructures
Autor(a) principal: | |
---|---|
Data de Publicação: | 2009 |
Outros Autores: | , , |
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. |
id |
UFV_c77a35529cab60ceb2843318bab1c42c |
---|---|
oai_identifier_str |
oai:locus.ufv.br:123456789/21726 |
network_acronym_str |
UFV |
network_name_str |
LOCUS Repositório Institucional da UFV |
repository_id_str |
2145 |
spelling |
Silva, Odilon Corrêa daLisboa-Filho, JugurtaBraga, José LuísBorges, Karla A. V.2018-09-10T17:30:09Z2018-09-10T17:30:09Z2009-11-271865-0481http://dx.doi.org/10.1007/s12145-009-0039-2http://www.locus.ufv.br/handle/123456789/21726Concern 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.engEarth Science InformaticsVolume 2, Issue 4, p. 235–247, December 2009Springer-Verlaginfo:eu-repo/semantics/openAccessInformation retrieval systemsMetadataSpatial data infrastructureThesauriTopic mapsSearching for metadata using knowledge bases and topic maps in Spatial Data Infrastructuresinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfreponame:LOCUS Repositório Institucional da UFVinstname:Universidade Federal de Viçosa (UFV)instacron:UFVORIGINALartigo.pdfartigo.pdfTexto completoapplication/pdf476699https://locus.ufv.br//bitstream/123456789/21726/1/artigo.pdf99ffb35d4bd83db9fb2c6cc96b522e30MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://locus.ufv.br//bitstream/123456789/21726/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52THUMBNAILartigo.pdf.jpgartigo.pdf.jpgIM Thumbnailimage/jpeg4940https://locus.ufv.br//bitstream/123456789/21726/3/artigo.pdf.jpg2b69eb98a95664fe51916cef54dc973dMD53123456789/217262018-09-10 23:00:38.929oai:locus.ufv.br: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Repositório InstitucionalPUBhttps://www.locus.ufv.br/oai/requestfabiojreis@ufv.bropendoar:21452018-09-11T02:00:38LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV)false |
dc.title.en.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.pt-BR.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.issued.fl_str_mv |
2009-11-27 |
dc.date.accessioned.fl_str_mv |
2018-09-10T17:30:09Z |
dc.date.available.fl_str_mv |
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 |
http://dx.doi.org/10.1007/s12145-009-0039-2 http://www.locus.ufv.br/handle/123456789/21726 |
dc.identifier.issn.none.fl_str_mv |
1865-0481 |
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.ispartofseries.pt-BR.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 |
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 |
bitstream.url.fl_str_mv |
https://locus.ufv.br//bitstream/123456789/21726/1/artigo.pdf https://locus.ufv.br//bitstream/123456789/21726/2/license.txt https://locus.ufv.br//bitstream/123456789/21726/3/artigo.pdf.jpg |
bitstream.checksum.fl_str_mv |
99ffb35d4bd83db9fb2c6cc96b522e30 8a4605be74aa9ea9d79846c1fba20a33 2b69eb98a95664fe51916cef54dc973d |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 |
repository.name.fl_str_mv |
LOCUS Repositório Institucional da UFV - Universidade Federal de Viçosa (UFV) |
repository.mail.fl_str_mv |
fabiojreis@ufv.br |
_version_ |
1801213091147415552 |