Modelos de representação semântica na era do Big Data

Detalhes bibliográficos
Autor(a) principal: Souza, Janailton Lopes
Data de Publicação: 2018
Outros Autores: Martins, Paulo George Miranda, Ramalho, Rogério Aparecido Sá
Tipo de documento: Artigo
Idioma: por
Título da fonte: Brazilian Journal of Information Science
Texto Completo: https://revistas.marilia.unesp.br/index.php/bjis/article/view/8167
Resumo: The term Big Data refers to the large volume of data produced and made available in digital environments. Throughout the last years new models of representation have been proposed to improve the forms of representation of information in digital environments. The present work is linked to an ongoing research project, funded by FAPESP and CNPq agencies, and aims to analyze the principles underlying Big Data and its relationship with the new Resource Description Framework (RDF) representation patterns; Simple Knowledge Organization System (SKOS) and Onto-logy Web Language (OWL). The research has a theoretical character and a qualitative approach, as it seeks to present characteristics aimed at describing, understanding and explaining the relationships between Big Data and the new models of representation. From the theoretical survey carried out, it was verified that the representation models analyzed contribute to the interconnection of large volumes of data without losing the context in which they originated, favoring a better understanding of Big Data and the new paradigms of representation in digital environments.
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spelling Modelos de representação semântica na era do Big DataSistemas de Organização do ConhecimentoRDFSKOSOWLBig DataThe term Big Data refers to the large volume of data produced and made available in digital environments. Throughout the last years new models of representation have been proposed to improve the forms of representation of information in digital environments. The present work is linked to an ongoing research project, funded by FAPESP and CNPq agencies, and aims to analyze the principles underlying Big Data and its relationship with the new Resource Description Framework (RDF) representation patterns; Simple Knowledge Organization System (SKOS) and Onto-logy Web Language (OWL). The research has a theoretical character and a qualitative approach, as it seeks to present characteristics aimed at describing, understanding and explaining the relationships between Big Data and the new models of representation. From the theoretical survey carried out, it was verified that the representation models analyzed contribute to the interconnection of large volumes of data without losing the context in which they originated, favoring a better understanding of Big Data and the new paradigms of representation in digital environments.O termo Big Data se refere ao grande volume de dados produzidos e disponibilizados em ambientes digitais. Ao longo dos últimos anos novos modelos de representação têm sido propostos no intuito de aperfeiçoar as formas de representação de informações em ambientes digitais. O presente trabalho está vinculado a um projeto de pesquisa em andamento, financiado pelas agências FAPESP e CNPq, e possui como objetivo analisar os princípios que fundamentam o Big Data e sua relação com os novos padrões de representação Resource Description Framework (RDF); Simple Knowledge Organization System (SKOS) e Ontology Web Language (OWL). A pesquisa possui caráter teórico e abordagem qualitativa, pois busca apresentar características voltadas à descrição, compreensão e explicação das relações do Big Data com os novos modelos de representação. A partir do levantamento teórico realizado, foi verificado que os modelos de representação analisados contribuem para interligar grandes volumes de dados sem perder o contexto no qual são originados, favorecendo um melhor entendimento do Big Data e os novos paradigmas de representação em ambientes digitais.Faculdade de Filosofia e Ciências2018-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.marilia.unesp.br/index.php/bjis/article/view/816710.36311/1981-1640.2018.v12n3.04.p34Brazilian Journal of Information Science: Research Trends; Vol. 12 No. 3 (2018); 34 ao 40Brazilian Journal of Information Science: Research Trends; Vol. 12 Núm. 3 (2018); 34 ao 40Brazilian Journal of Information Science: research trends; v. 12 n. 3 (2018); 34 ao 401981-1640reponame:Brazilian Journal of Information Scienceinstname:Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)instacron:UNESPporhttps://revistas.marilia.unesp.br/index.php/bjis/article/view/8167/5335Souza, Janailton LopesMartins, Paulo George MirandaRamalho, Rogério Aparecido Sáinfo:eu-repo/semantics/openAccess2020-09-25T17:05:47Zoai:ojs.www2.marilia.unesp.br:article/8167Revistahttps://revistas.marilia.unesp.br/index.php/bjis/indexPUBhttps://revistas.marilia.unesp.br/index.php/bjis/oaibrajis.marilia@unesp.br||1981-16401981-1640opendoar:2020-09-25T17:05:47Brazilian Journal of Information Science - Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)false
dc.title.none.fl_str_mv Modelos de representação semântica na era do Big Data
title Modelos de representação semântica na era do Big Data
spellingShingle Modelos de representação semântica na era do Big Data
Souza, Janailton Lopes
Sistemas de Organização do Conhecimento
RDF
SKOS
OWL
Big Data
title_short Modelos de representação semântica na era do Big Data
title_full Modelos de representação semântica na era do Big Data
title_fullStr Modelos de representação semântica na era do Big Data
title_full_unstemmed Modelos de representação semântica na era do Big Data
title_sort Modelos de representação semântica na era do Big Data
author Souza, Janailton Lopes
author_facet Souza, Janailton Lopes
Martins, Paulo George Miranda
Ramalho, Rogério Aparecido Sá
author_role author
author2 Martins, Paulo George Miranda
Ramalho, Rogério Aparecido Sá
author2_role author
author
dc.contributor.author.fl_str_mv Souza, Janailton Lopes
Martins, Paulo George Miranda
Ramalho, Rogério Aparecido Sá
dc.subject.por.fl_str_mv Sistemas de Organização do Conhecimento
RDF
SKOS
OWL
Big Data
topic Sistemas de Organização do Conhecimento
RDF
SKOS
OWL
Big Data
description The term Big Data refers to the large volume of data produced and made available in digital environments. Throughout the last years new models of representation have been proposed to improve the forms of representation of information in digital environments. The present work is linked to an ongoing research project, funded by FAPESP and CNPq agencies, and aims to analyze the principles underlying Big Data and its relationship with the new Resource Description Framework (RDF) representation patterns; Simple Knowledge Organization System (SKOS) and Onto-logy Web Language (OWL). The research has a theoretical character and a qualitative approach, as it seeks to present characteristics aimed at describing, understanding and explaining the relationships between Big Data and the new models of representation. From the theoretical survey carried out, it was verified that the representation models analyzed contribute to the interconnection of large volumes of data without losing the context in which they originated, favoring a better understanding of Big Data and the new paradigms of representation in digital environments.
publishDate 2018
dc.date.none.fl_str_mv 2018-10-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revistas.marilia.unesp.br/index.php/bjis/article/view/8167
10.36311/1981-1640.2018.v12n3.04.p34
url https://revistas.marilia.unesp.br/index.php/bjis/article/view/8167
identifier_str_mv 10.36311/1981-1640.2018.v12n3.04.p34
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://revistas.marilia.unesp.br/index.php/bjis/article/view/8167/5335
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.publisher.none.fl_str_mv Faculdade de Filosofia e Ciências
publisher.none.fl_str_mv Faculdade de Filosofia e Ciências
dc.source.none.fl_str_mv Brazilian Journal of Information Science: Research Trends; Vol. 12 No. 3 (2018); 34 ao 40
Brazilian Journal of Information Science: Research Trends; Vol. 12 Núm. 3 (2018); 34 ao 40
Brazilian Journal of Information Science: research trends; v. 12 n. 3 (2018); 34 ao 40
1981-1640
reponame:Brazilian Journal of Information Science
instname:Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Brazilian Journal of Information Science
collection Brazilian Journal of Information Science
repository.name.fl_str_mv Brazilian Journal of Information Science - Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP)
repository.mail.fl_str_mv brajis.marilia@unesp.br||
_version_ 1754840471672193024

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