Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
06/02/2013 |
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Data da última atualização: |
22/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
VARGAS, R. N. P.; REZENDE, S. de O.; MOURA, M. F.; SPERANZA, E. A.; RODRIGUEZ, E. |
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Afiliação: |
ROSA NATHALIE PORTUGAL VARGAS, ICMC/USP; SOLANGE DE OLIVEIRA REZENDE, ICMC/USP; MARIA FERNANDA MOURA, CNPTIA; EDUARDO ANTONIO SPERANZA, CNPTIA; ERCILIA RODRIGUEZ. |
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Título: |
Discovering the spatial coverage of the documents through the SpatialCIM Methodology. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
In: AGILE INTERNATIONAL CONFERENCE ON GEOGRAPHIC INFORMATION SCIENCE, 15., 2012, Avignon. Bridging the geographic information sciences: proceedings. [S.l.: s.n.], 2012. |
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Páginas: |
p. 181-186. |
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ISBN: |
978-90-816960-0-5 |
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Idioma: |
Inglês |
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Conteúdo: |
The main focus of this paper is to present the SpatialCIM methodology to identify the spatial coverage of the documents in the Brazilian geographic area. This methodology uses a linguistic tool to assist in the entity recognition process. The linguistic tool classifies the recognized entities as person, organization, time and localization, among others. The localization entities are checked using a geographic information system (GIS) in order to extract the Brazilian entity geographic paths. If there are multiple geographic paths for a single entity, the disambiguation process is carried out. This process attempts to locate the best geographic path for an entity considering all the geographic entities in the text. Another important objective of this paper is to show that the disambiguation process improves the geographic classification of the documents considering the obtained geographic paths. The validation process considers a set of news previously labeled by an expert and compared with the results of the disambiguated and non-disambiguated geographic paths. The results showed that the disambiguation process improves the classification compared with the classification without disambiguation. Keywords: Ambiguity problem resolution, spatial coverage identification, toponym resolution. |
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Palavras-Chave: |
Ambiguidade; Ambiguity problem resolution; Cobertura espacial; Ferramenta lingüística; Spatial coverage identification; Toponym resolution. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/76092/1/fernanda-Agile.pdf
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Marc: |
LEADER 02206nam a2200253 a 4500
001 1948445
005 2020-01-22
008 2012 bl uuuu u00u1 u #d
020 $a978-90-816960-0-5
100 1 $aVARGAS, R. N. P.
245 $aDiscovering the spatial coverage of the documents through the SpatialCIM Methodology.$h[electronic resource]
260 $aIn: AGILE INTERNATIONAL CONFERENCE ON GEOGRAPHIC INFORMATION SCIENCE, 15., 2012, Avignon. Bridging the geographic information sciences: proceedings. [S.l.: s.n.]$c2012
300 $ap. 181-186.
520 $aThe main focus of this paper is to present the SpatialCIM methodology to identify the spatial coverage of the documents in the Brazilian geographic area. This methodology uses a linguistic tool to assist in the entity recognition process. The linguistic tool classifies the recognized entities as person, organization, time and localization, among others. The localization entities are checked using a geographic information system (GIS) in order to extract the Brazilian entity geographic paths. If there are multiple geographic paths for a single entity, the disambiguation process is carried out. This process attempts to locate the best geographic path for an entity considering all the geographic entities in the text. Another important objective of this paper is to show that the disambiguation process improves the geographic classification of the documents considering the obtained geographic paths. The validation process considers a set of news previously labeled by an expert and compared with the results of the disambiguated and non-disambiguated geographic paths. The results showed that the disambiguation process improves the classification compared with the classification without disambiguation. Keywords: Ambiguity problem resolution, spatial coverage identification, toponym resolution.
653 $aAmbiguidade
653 $aAmbiguity problem resolution
653 $aCobertura espacial
653 $aFerramenta lingüística
653 $aSpatial coverage identification
653 $aToponym resolution
700 1 $aREZENDE, S. de O.
700 1 $aMOURA, M. F.
700 1 $aSPERANZA, E. A.
700 1 $aRODRIGUEZ, E.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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