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dc.contributor.authorVARGAS, R. N. P.pt_BR
dc.contributor.authorREZENDE, S. de O.pt_BR
dc.contributor.authorMOURA, M. F.pt_BR
dc.contributor.authorSPERANZA, E. A.pt_BR
dc.contributor.authorRODRIGUEZ, E.pt_BR
dc.date.accessioned2013-02-06T11:11:11Zpt_BR
dc.date.available2013-02-06T11:11:11Zpt_BR
dc.date.created2013-02-06pt_BR
dc.date.issued2012pt_BR
dc.identifier.citationIn: AGILE INTERNATIONAL CONFERENCE ON GEOGRAPHIC INFORMATION SCIENCE, 15., 2012, Avignon. Bridging the geographic information sciences: proceedings. [S.l.: s.n.], 2012.pt_BR
dc.identifier.isbn978-90-816960-0-5pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/948445pt_BR
dc.descriptionThe 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.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectCobertura espacialpt_BR
dc.subjectAmbiguidadept_BR
dc.subjectFerramenta lingüísticapt_BR
dc.subjectSpatial coverage identificationpt_BR
dc.subjectAmbiguity problem resolutionpt_BR
dc.subjectToponym resolutionpt_BR
dc.titleDiscovering the spatial coverage of the documents through the SpatialCIM Methodology.pt_BR
dc.typeArtigo em anais e proceedingspt_BR
dc.date.updated2020-01-22T11:11:11Zpt_BR
dc.format.extent2p. 181-186.pt_BR
riaa.ainfo.id948445pt_BR
riaa.ainfo.lastupdate2020-01-22 -02:00:00pt_BR
dc.contributor.institutionROSA NATHALIE PORTUGAL VARGAS, ICMC/USP; SOLANGE DE OLIVEIRA REZENDE, ICMC/USP; MARIA FERNANDA MOURA, CNPTIA; EDUARDO ANTONIO SPERANZA, CNPTIA; ERCILIA RODRIGUEZ.pt_BR
Aparece en las colecciones:Artigo em anais de congresso (CNPTIA)

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