The role of semantic web in the big data process
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
Outros Autores: | , , |
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 |