The role of semantic web in the big data process

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorUniversidade de São Paulo (USP)-
Autor(es): dc.contributorWestern Univ-
Autor(es): dc.creatorConeglian, Caio Saraiva [UNESP]-
Autor(es): dc.creatorDieger, Rodrigo [UNESP]-
Autor(es): dc.creatorSantarem Segundo, Jose Eduardo [UNESP]-
Autor(es): dc.creatorCapretz, Miriam-
Data de aceite: dc.date.accessioned2022-02-22T00:04:09Z-
Data de disponibilização: dc.date.available2022-02-22T00:04:09Z-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2020-12-09-
Data de envio: dc.date.issued2018-09-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.5007/1518-2924.2018v23n53p137-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/194870-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/194870-
Descrição: dc.descriptionThe 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.-
Descrição: dc.descriptionUniv Estadual Paulista Unesp, Ciencia Informacao, Ilha Solteira, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista Unesp, Ciencia Informacao PPGCI, Ilha Solteira, Brazil-
Descrição: dc.descriptionUniv Sao Paulo, Sao Paulo, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista Julio de Mesquita Filho Un, PPGCI, Sao Paulo, Brazil-
Descrição: dc.descriptionWestern Univ, Dept Elect & Comp Engn, London, ON, Canada-
Descrição: dc.descriptionUniv Estadual Paulista Unesp, Ciencia Informacao, Ilha Solteira, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista Unesp, Ciencia Informacao PPGCI, Ilha Solteira, Brazil-
Descrição: dc.descriptionUniv Estadual Paulista Julio de Mesquita Filho Un, PPGCI, Sao Paulo, Brazil-
Formato: dc.format138-147-
Idioma: dc.languagept_BR-
Publicador: dc.publisherUniv Federal Santa Catarina-
Relação: dc.relationEncontros Bibli-revista Eletronica De Biblioteconomia E Ciencia Da Informacao-
???dc.source???: dc.sourceWeb of Science-
Palavras-chave: dc.subjectSemantic Web-
Palavras-chave: dc.subjectBig Data-
Palavras-chave: dc.subjectSemantic Web Technologies-
Título: dc.titleThe role of semantic web in the big data process-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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