GI Systems for public health with an ontology based approach

Detalhes bibliográficos
Autor(a) principal: Gür, Nurefşan
Data de Publicação: 2012
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/8328
Resumo: Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.
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spelling GI Systems for public health with an ontology based approachLinked Open DataSemantic WebHealth StatisticsGeographical Information SystemsSpatialHealthStatistical OntologiesDissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.Health is an indispensable attribute of human life. In modern age, utilizing technologies for health is one of the emergent concepts in several applied fields. Computer science, (geographic) information systems are some of the interdisciplinary fields which motivates this thesis. Inspiring idea of the study is originated from a rhetorical disease DbHd: Database Hugging Disorder, defined by Hans Rosling at World Bank Open Data speech in May 2010. The cure of this disease can be offered as linked open data, which contains ontologies for health science, diseases, genes, drugs, GEO species etc. LOD-Linked Open Data provides the systematic application of information by publishing and connecting structured data on the Web. In the context of this study we aimed to reduce boundaries between semantic web and geo web. For this reason a use case data is studied from Valencia CSISP- Research Center of Public Health in which the mortality rates for particular diseases are represented spatio-temporally. Use case data is divided into three conceptual domains (health, spatial, statistical), enhanced with semantic relations and descriptions by following Linked Data Principles. Finally in order to convey complex health-related information, we offer an infrastructure integrating geo web and semantic web. Based on the established outcome, user access methods are introduced and future researches/studies are outlined.Díaz Sánchez, LauraKauppinen, TomiPainho, Marco Octávio TrindadeRUNGür, Nurefşan2012-12-06T12:14:54Z2012-03-052012-03-05T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/8328enginfo: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:RCAAP2024-05-22T17:11:57Zoai:run.unl.pt:10362/8328Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-22T17:11:57Repositório 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 GI Systems for public health with an ontology based approach
title GI Systems for public health with an ontology based approach
spellingShingle GI Systems for public health with an ontology based approach
Gür, Nurefşan
Linked Open Data
Semantic Web
Health Statistics
Geographical Information Systems
Spatial
Health
Statistical Ontologies
title_short GI Systems for public health with an ontology based approach
title_full GI Systems for public health with an ontology based approach
title_fullStr GI Systems for public health with an ontology based approach
title_full_unstemmed GI Systems for public health with an ontology based approach
title_sort GI Systems for public health with an ontology based approach
author Gür, Nurefşan
author_facet Gür, Nurefşan
author_role author
dc.contributor.none.fl_str_mv Díaz Sánchez, Laura
Kauppinen, Tomi
Painho, Marco Octávio Trindade
RUN
dc.contributor.author.fl_str_mv Gür, Nurefşan
dc.subject.por.fl_str_mv Linked Open Data
Semantic Web
Health Statistics
Geographical Information Systems
Spatial
Health
Statistical Ontologies
topic Linked Open Data
Semantic Web
Health Statistics
Geographical Information Systems
Spatial
Health
Statistical Ontologies
description Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.
publishDate 2012
dc.date.none.fl_str_mv 2012-12-06T12:14:54Z
2012-03-05
2012-03-05T00:00:00Z
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/10362/8328
url http://hdl.handle.net/10362/8328
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)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
_version_ 1817545481088139264

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