Linked Data based Health Information Representation, Visualization and Retrieval System on the Semantic Web

Detalhes bibliográficos
Autor(a) principal: Tilahun, Binyam Chakilu
Data de Publicação: 2013
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/9190
Resumo: Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.
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spelling Linked Data based Health Information Representation, Visualization and Retrieval System on the Semantic WebLinked Open DataSemantic webOntologyHealth informationHIVWHODissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.To better facilitate health information dissemination, using flexible ways to represent, query and visualize health data becomes increasingly important. Semantic Web technologies, which provide a common framework by allowing data to be shared and reused between applications, can be applied to the management of health data. Linked open data - a new semantic web standard to publish and link heterogonous data- allows not only human, but also machine to brows data in unlimited way. Through a use case of world health organization HIV data of sub Saharan Africa - which is severely affected by HIV epidemic, this thesis built a linked data based health information representation, querying and visualization system. All the data was represented with RDF, by interlinking it with other related datasets, which are already on the cloud. Over all, the system have more than 21,000 triples with a SPARQL endpoint; where users can download and use the data and – a SPARQL query interface where users can put different type of query and retrieve the result. Additionally, It has also a visualization interface where users can visualize the SPARQL result with a tool of their preference. For users who are not familiar with SPARQL queries, they can use the linked data search engine interface to search and browse the data. From this system we can depict that current linked open data technologies have a big potential to represent heterogonous health data in a flexible and reusable manner and they can serve in intelligent queries, which can support decision-making. However, in order to get the best from these technologies, improvements are needed both at the level of triple stores performance and domain-specific ontological vocabularies.Kauppinen, TomiKeßler, CarstenPainho, Marco Octávio TrindadeRUNTilahun, Binyam Chakilu2013-03-25T14:31:14Z2013-01-302013-01-30T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/9190TID:202253015enginfo: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:RCAAP2024-05-22T17:12:47Zoai:run.unl.pt:10362/9190Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-05-22T17:12:47Repositório 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 Linked Data based Health Information Representation, Visualization and Retrieval System on the Semantic Web
title Linked Data based Health Information Representation, Visualization and Retrieval System on the Semantic Web
spellingShingle Linked Data based Health Information Representation, Visualization and Retrieval System on the Semantic Web
Tilahun, Binyam Chakilu
Linked Open Data
Semantic web
Ontology
Health information
HIV
WHO
title_short Linked Data based Health Information Representation, Visualization and Retrieval System on the Semantic Web
title_full Linked Data based Health Information Representation, Visualization and Retrieval System on the Semantic Web
title_fullStr Linked Data based Health Information Representation, Visualization and Retrieval System on the Semantic Web
title_full_unstemmed Linked Data based Health Information Representation, Visualization and Retrieval System on the Semantic Web
title_sort Linked Data based Health Information Representation, Visualization and Retrieval System on the Semantic Web
author Tilahun, Binyam Chakilu
author_facet Tilahun, Binyam Chakilu
author_role author
dc.contributor.none.fl_str_mv Kauppinen, Tomi
Keßler, Carsten
Painho, Marco Octávio Trindade
RUN
dc.contributor.author.fl_str_mv Tilahun, Binyam Chakilu
dc.subject.por.fl_str_mv Linked Open Data
Semantic web
Ontology
Health information
HIV
WHO
topic Linked Open Data
Semantic web
Ontology
Health information
HIV
WHO
description Dissertation submitted in partial fulfillment of the requirements for the Degree of Master of Science in Geospatial Technologies.
publishDate 2013
dc.date.none.fl_str_mv 2013-03-25T14:31:14Z
2013-01-30
2013-01-30T00:00:00Z
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/10362/9190
TID:202253015
url http://hdl.handle.net/10362/9190
identifier_str_mv TID:202253015
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_ 1817545487527444480

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