Geospatial database generation from digital newspapers: use case for risk and disaster domains.

Detalhes bibliográficos
Autor(a) principal: Preciado López, Julio César
Data de Publicação: 2010
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/5637
Resumo: Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies.
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spelling Geospatial database generation from digital newspapers: use case for risk and disaster domains.Geographic information systemsNatural languageDigital newspapersRisk domainsDisaster domainsDissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies.The generation of geospatial databases is expensive in terms of time and money. Many geospatial users still lack spatial data. Geographic Information Extraction and Retrieval systems can alleviate this problem. This work proposes a method to populate spatial databases automatically from the Web. It applies the approach to the risk and disaster domain taking digital newspapers as a data source. News stories on digital newspapers contain rich thematic information that can be attached to places. The use case of automating spatial database generation is applied to Mexico using placenames. In Mexico, small and medium disasters occur most years. The facts about these are frequently mentioned in newspapers but rarely stored as records in national databases. Therefore, it is difficult to estimate human and material losses of those events. This work present two ways to extract information from digital news using natural languages techniques for distilling the text, and the national gazetteer codes to achieve placename-attribute disambiguation. Two outputs are presented; a general one that exposes highly relevant news, and another that attaches attributes of interest to placenames. The later achieved a 75% rate of thematic relevance under qualitative analysis.Berlanga-Llavori, RafaelKeßler, CarstenNeto, Miguel de Castro Simões FerreiraRUNPreciado López, Julio César2011-05-17T15:24:52Z2010-04-032010-04-03T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/5637enginfo: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:RCAAP2024-03-11T03:36:21Zoai:run.unl.pt:10362/5637Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:16:24.844869Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Geospatial database generation from digital newspapers: use case for risk and disaster domains.
title Geospatial database generation from digital newspapers: use case for risk and disaster domains.
spellingShingle Geospatial database generation from digital newspapers: use case for risk and disaster domains.
Preciado López, Julio César
Geographic information systems
Natural language
Digital newspapers
Risk domains
Disaster domains
title_short Geospatial database generation from digital newspapers: use case for risk and disaster domains.
title_full Geospatial database generation from digital newspapers: use case for risk and disaster domains.
title_fullStr Geospatial database generation from digital newspapers: use case for risk and disaster domains.
title_full_unstemmed Geospatial database generation from digital newspapers: use case for risk and disaster domains.
title_sort Geospatial database generation from digital newspapers: use case for risk and disaster domains.
author Preciado López, Julio César
author_facet Preciado López, Julio César
author_role author
dc.contributor.none.fl_str_mv Berlanga-Llavori, Rafael
Keßler, Carsten
Neto, Miguel de Castro Simões Ferreira
RUN
dc.contributor.author.fl_str_mv Preciado López, Julio César
dc.subject.por.fl_str_mv Geographic information systems
Natural language
Digital newspapers
Risk domains
Disaster domains
topic Geographic information systems
Natural language
Digital newspapers
Risk domains
Disaster domains
description Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies.
publishDate 2010
dc.date.none.fl_str_mv 2010-04-03
2010-04-03T00:00:00Z
2011-05-17T15:24:52Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
format masterThesis
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/5637
url http://hdl.handle.net/10362/5637
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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