The role of semantic web in the big data process

Detalhes bibliográficos
Autor(a) principal: Coneglian, Caio Saraiva
Data de Publicação: 2018
Outros Autores: Dieger, Rodrigo, Santarem Segundo, José Eduardo, Capretz, Miriam Akemi Manabe
Tipo de documento: Artigo
Idioma: por
Título da fonte: Encontros Bibli
Texto Completo: https://periodicos.ufsc.br/index.php/eb/article/view/1518-2924.2018v23n53p137
Resumo: The Semantic Web presents a theoretical corpus and a range of technologies and applications that demonstrate its consistency, including in use of its concepts and its technologies in other scopes than the Web. In this sense, Big Data's projects can take advantage of the application of principles and developments in the area of the Semantic Web, to improve the processes of data analysis, especially in the insertion of semantic characteristics for data contextualization. Thus, this research aims to analyze and discuss the potential of Semantic Web technologies as a means of integrating and developing Big Data applications. An exploratory qualitative methodology was used, where we searched for points of the literature and documentary texts dealt with the convergence between the Semantic Web and the Big Data. Four main points were identified and discussed: the application of Linked Data as a data source for Big Data; the use of ontologies in data analysis; the use of Semantic Web technologies to promote interoperability in Big Data scenarios; and the use of machine learning to extract data automatically and convert them to Semantic Web standards. Therefore, it was possible to identify that the Semantic Web, especially with regard to its technologies, can help Big Data, since it provides a paradigm different from those applied mainly in data analysis.
id UFSC-29_79b2742bc960257815443e3be2ad0168
oai_identifier_str oai:periodicos.ufsc.br:article/54583
network_acronym_str UFSC-29
network_name_str Encontros Bibli
repository_id_str
spelling The role of semantic web in the big data processO papel da web semântica nos processos do big dataWeb SemânticaBig DataTecnologias da Web SemânticaSemantic WebBig DataSemantic Web TechnologiesThe Semantic Web presents a theoretical corpus and a range of technologies and applications that demonstrate its consistency, including in use of its concepts and its technologies in other scopes than the Web. In this sense, Big Data's projects can take advantage of the application of principles and developments in the area of the Semantic Web, to improve the processes of data analysis, especially in the insertion of semantic characteristics for data contextualization. Thus, this research aims to analyze and discuss the potential of Semantic Web technologies as a means of integrating and developing Big Data applications. An exploratory qualitative methodology was used, where we searched for points of the literature and documentary texts dealt with the convergence between the Semantic Web and the Big Data. Four main points were identified and discussed: the application of Linked Data as a data source for Big Data; the use of ontologies in data analysis; the use of Semantic Web technologies to promote interoperability in Big Data scenarios; and the use of machine learning to extract data automatically and convert them to Semantic Web standards. Therefore, it was possible to identify that the Semantic Web, especially with regard to its technologies, can help Big Data, since it provides a paradigm different from those applied mainly in data analysis.A Web Semântica apresenta um corpus teórico e diversas tecnologias e aplicações que demonstram a sua consistência, inclusive no que tange ao uso de seus conceitos e de suas tecnologias em outros escopos não se limitando unicamente a Web. Neste sentido, os projetos de Big Data podem tirar proveito da aplicação dos princípios e dos desenvolvimentos realizados na área da Web Semântica, para aperfeiçoar os processos de análises de dados, em especial na inserção de características semânticas para contextualização dos dados. Assim, esta pesquisa tem como objetivo analisar e discutir o potencial das tecnologias da Web Semântica como meio de integração e desenvolvimento de aplicações de Big Data. Utilizou-se uma metodologia qualitativa exploratória, onde buscou-se pontos de convergência entre a Web Semântica e Big Data. Foram identificados e discutidos quatro pontos principais: a aplicação do Linked Data enquanto fonte de dados para o Big Data; o uso de ontologias nas análises de dados; o uso das tecnologias da Web Semântica para promoção da interoperabilidade em cenários de Big Data; e o uso de machine learning para extrair dados automaticamente e convertê-los para os padrões da Web Semântica. Neste sentido, foi possível identificar que a Web Semântica, em especial no que permeia suas tecnologias e aplicações, pode auxiliar significativamente o desenvolvimento do Big Data, por fornecer um paradigma complementar dos aplicados majoritariamente nas análises de dados.Departamento de Ciência da Informação – UFSC2018-09-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdftext/xmlhttps://periodicos.ufsc.br/index.php/eb/article/view/1518-2924.2018v23n53p13710.5007/1518-2924.2018v23n53p137Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação; Vol. 23 No. 53 (2018): Data de publicação: 06/09/2018; 137-146Encontros Bibli: revista electrónica de bibliotecología y ciencias de la información.; Vol. 23 Núm. 53 (2018): Data de publicação: 06/09/2018; 137-146Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação; v. 23 n. 53 (2018): Data de publicação: 06/09/2018; 137-1461518-2924reponame:Encontros Bibliinstname:Universidade Federal de Santa Catarina (UFSC)instacron:UFSCporhttps://periodicos.ufsc.br/index.php/eb/article/view/1518-2924.2018v23n53p137/37292https://periodicos.ufsc.br/index.php/eb/article/view/1518-2924.2018v23n53p137/53683Copyright (c) 2018 Caio Saraiva Coneglian, Rodrigo Dieger, José Eduardo Santarem Segundo, Miriam Akemi Manabe Capretzhttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessConeglian, Caio SaraivaDieger, RodrigoSantarem Segundo, José EduardoCapretz, Miriam Akemi Manabe2023-07-16T19:19:51Zoai:periodicos.ufsc.br:article/54583Revistahttps://periodicos.ufsc.br/index.php/eb/indexPUBhttps://periodicos.ufsc.br/index.php/eb/oaiencontrosbibli@contato.ufsc.br||portaldeperiodicos.bu@contato.ufsc.br1518-29241518-2924opendoar:2023-07-16T19:19:51Encontros Bibli - Universidade Federal de Santa Catarina (UFSC)false
dc.title.none.fl_str_mv The role of semantic web in the big data process
O papel da web semântica nos processos do big data
title The role of semantic web in the big data process
spellingShingle The role of semantic web in the big data process
Coneglian, Caio Saraiva
Web Semântica
Big Data
Tecnologias da Web Semântica
Semantic Web
Big Data
Semantic Web Technologies
title_short The role of semantic web in the big data process
title_full The role of semantic web in the big data process
title_fullStr The role of semantic web in the big data process
title_full_unstemmed The role of semantic web in the big data process
title_sort The role of semantic web in the big data process
author Coneglian, Caio Saraiva
author_facet Coneglian, Caio Saraiva
Dieger, Rodrigo
Santarem Segundo, José Eduardo
Capretz, Miriam Akemi Manabe
author_role author
author2 Dieger, Rodrigo
Santarem Segundo, José Eduardo
Capretz, Miriam Akemi Manabe
author2_role author
author
author
dc.contributor.author.fl_str_mv Coneglian, Caio Saraiva
Dieger, Rodrigo
Santarem Segundo, José Eduardo
Capretz, Miriam Akemi Manabe
dc.subject.por.fl_str_mv Web Semântica
Big Data
Tecnologias da Web Semântica
Semantic Web
Big Data
Semantic Web Technologies
topic Web Semântica
Big Data
Tecnologias da Web Semântica
Semantic Web
Big Data
Semantic Web Technologies
description The Semantic Web presents a theoretical corpus and a range of technologies and applications that demonstrate its consistency, including in use of its concepts and its technologies in other scopes than the Web. In this sense, Big Data's projects can take advantage of the application of principles and developments in the area of the Semantic Web, to improve the processes of data analysis, especially in the insertion of semantic characteristics for data contextualization. Thus, this research aims to analyze and discuss the potential of Semantic Web technologies as a means of integrating and developing Big Data applications. An exploratory qualitative methodology was used, where we searched for points of the literature and documentary texts dealt with the convergence between the Semantic Web and the Big Data. Four main points were identified and discussed: the application of Linked Data as a data source for Big Data; the use of ontologies in data analysis; the use of Semantic Web technologies to promote interoperability in Big Data scenarios; and the use of machine learning to extract data automatically and convert them to Semantic Web standards. Therefore, it was possible to identify that the Semantic Web, especially with regard to its technologies, can help Big Data, since it provides a paradigm different from those applied mainly in data analysis.
publishDate 2018
dc.date.none.fl_str_mv 2018-09-06
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://periodicos.ufsc.br/index.php/eb/article/view/1518-2924.2018v23n53p137
10.5007/1518-2924.2018v23n53p137
url https://periodicos.ufsc.br/index.php/eb/article/view/1518-2924.2018v23n53p137
identifier_str_mv 10.5007/1518-2924.2018v23n53p137
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufsc.br/index.php/eb/article/view/1518-2924.2018v23n53p137/37292
https://periodicos.ufsc.br/index.php/eb/article/view/1518-2924.2018v23n53p137/53683
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
text/xml
dc.publisher.none.fl_str_mv Departamento de Ciência da Informação – UFSC
publisher.none.fl_str_mv Departamento de Ciência da Informação – UFSC
dc.source.none.fl_str_mv Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação; Vol. 23 No. 53 (2018): Data de publicação: 06/09/2018; 137-146
Encontros Bibli: revista electrónica de bibliotecología y ciencias de la información.; Vol. 23 Núm. 53 (2018): Data de publicação: 06/09/2018; 137-146
Encontros Bibli: revista eletrônica de biblioteconomia e ciência da informação; v. 23 n. 53 (2018): Data de publicação: 06/09/2018; 137-146
1518-2924
reponame:Encontros Bibli
instname:Universidade Federal de Santa Catarina (UFSC)
instacron:UFSC
instname_str Universidade Federal de Santa Catarina (UFSC)
instacron_str UFSC
institution UFSC
reponame_str Encontros Bibli
collection Encontros Bibli
repository.name.fl_str_mv Encontros Bibli - Universidade Federal de Santa Catarina (UFSC)
repository.mail.fl_str_mv encontrosbibli@contato.ufsc.br||portaldeperiodicos.bu@contato.ufsc.br
_version_ 1797067778160590848