Semantic web technologies for the information retrieval on wikidata

Detalhes bibliográficos
Autor(a) principal: Da Luz, Larissa Pavarini [UNESP]
Data de Publicação: 2019
Outros Autores: Coneglian, Caio Saraiva [UNESP], Santrem, JosÉ Eduardo [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.20396/rdbci.v17i0.8651791
http://hdl.handle.net/11449/221288
Resumo: Information Retrieval is responsible for the storage and automatic retrieval of information, and these documents may consist of texts, web pages, audio, video, images, graphics and figures. Information Retrieval techniques have gained importance with the growth of the Web, because the unlimited amount of information can express the most diverse forms and levels of quality to what is expected. With this in mind, the present work studies methods and technologies capable of retrieving this information, focusing on searching structured databases called Linked Data, but specifically on the Wikidata project, a database structured using Semantic Web concepts, which brings together the knowledge from Wikipedia. Seeking to understand how this information retrieval is done in the Wikidata project, this research has the objective of presenting the media that Wikidata provides to RI and how they use the principles of the Semantic Web. The methodology used was an exploratory study based on the research and applied, since tests were done in the database of Wikidata. As a result, the characteristics of the various forms of data access and retrieval were identified, tracing the correlations between each of these forms, with the theoretical framework of the Semantic Web and Information Retrieval. It was concluded that Wikidata stands as a solid database, with a large volume of contents, quite current, that has a series of recovery mechanisms, capable of serving the most diverse applications on the Web, because these mechanisms are built with different technologies and configurations.
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spelling Semantic web technologies for the information retrieval on wikidataInformation retrievalLinked dataSemantic webWikidataInformation Retrieval is responsible for the storage and automatic retrieval of information, and these documents may consist of texts, web pages, audio, video, images, graphics and figures. Information Retrieval techniques have gained importance with the growth of the Web, because the unlimited amount of information can express the most diverse forms and levels of quality to what is expected. With this in mind, the present work studies methods and technologies capable of retrieving this information, focusing on searching structured databases called Linked Data, but specifically on the Wikidata project, a database structured using Semantic Web concepts, which brings together the knowledge from Wikipedia. Seeking to understand how this information retrieval is done in the Wikidata project, this research has the objective of presenting the media that Wikidata provides to RI and how they use the principles of the Semantic Web. The methodology used was an exploratory study based on the research and applied, since tests were done in the database of Wikidata. As a result, the characteristics of the various forms of data access and retrieval were identified, tracing the correlations between each of these forms, with the theoretical framework of the Semantic Web and Information Retrieval. It was concluded that Wikidata stands as a solid database, with a large volume of contents, quite current, that has a series of recovery mechanisms, capable of serving the most diverse applications on the Web, because these mechanisms are built with different technologies and configurations.Universidade Estadual PaulistaUniversidade Estadual PaulistaUniversidade Estadual Paulista (UNESP)Da Luz, Larissa Pavarini [UNESP]Coneglian, Caio Saraiva [UNESP]Santrem, JosÉ Eduardo [UNESP]2022-04-28T19:27:08Z2022-04-28T19:27:08Z2019-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.20396/rdbci.v17i0.8651791Revista Digital de Biblioteconomia e Ciencia da Informacao, v. 17, n. 1, 2019.1678-765Xhttp://hdl.handle.net/11449/22128810.20396/rdbci.v17i0.86517912-s2.0-85064729814Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRevista Digital de Biblioteconomia e Ciencia da Informacaoinfo:eu-repo/semantics/openAccess2022-04-28T19:27:08Zoai:repositorio.unesp.br:11449/221288Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:39:04.566480Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Semantic web technologies for the information retrieval on wikidata
title Semantic web technologies for the information retrieval on wikidata
spellingShingle Semantic web technologies for the information retrieval on wikidata
Da Luz, Larissa Pavarini [UNESP]
Information retrieval
Linked data
Semantic web
Wikidata
title_short Semantic web technologies for the information retrieval on wikidata
title_full Semantic web technologies for the information retrieval on wikidata
title_fullStr Semantic web technologies for the information retrieval on wikidata
title_full_unstemmed Semantic web technologies for the information retrieval on wikidata
title_sort Semantic web technologies for the information retrieval on wikidata
author Da Luz, Larissa Pavarini [UNESP]
author_facet Da Luz, Larissa Pavarini [UNESP]
Coneglian, Caio Saraiva [UNESP]
Santrem, JosÉ Eduardo [UNESP]
author_role author
author2 Coneglian, Caio Saraiva [UNESP]
Santrem, JosÉ Eduardo [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (UNESP)
dc.contributor.author.fl_str_mv Da Luz, Larissa Pavarini [UNESP]
Coneglian, Caio Saraiva [UNESP]
Santrem, JosÉ Eduardo [UNESP]
dc.subject.por.fl_str_mv Information retrieval
Linked data
Semantic web
Wikidata
topic Information retrieval
Linked data
Semantic web
Wikidata
description Information Retrieval is responsible for the storage and automatic retrieval of information, and these documents may consist of texts, web pages, audio, video, images, graphics and figures. Information Retrieval techniques have gained importance with the growth of the Web, because the unlimited amount of information can express the most diverse forms and levels of quality to what is expected. With this in mind, the present work studies methods and technologies capable of retrieving this information, focusing on searching structured databases called Linked Data, but specifically on the Wikidata project, a database structured using Semantic Web concepts, which brings together the knowledge from Wikipedia. Seeking to understand how this information retrieval is done in the Wikidata project, this research has the objective of presenting the media that Wikidata provides to RI and how they use the principles of the Semantic Web. The methodology used was an exploratory study based on the research and applied, since tests were done in the database of Wikidata. As a result, the characteristics of the various forms of data access and retrieval were identified, tracing the correlations between each of these forms, with the theoretical framework of the Semantic Web and Information Retrieval. It was concluded that Wikidata stands as a solid database, with a large volume of contents, quite current, that has a series of recovery mechanisms, capable of serving the most diverse applications on the Web, because these mechanisms are built with different technologies and configurations.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
2022-04-28T19:27:08Z
2022-04-28T19:27:08Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.20396/rdbci.v17i0.8651791
Revista Digital de Biblioteconomia e Ciencia da Informacao, v. 17, n. 1, 2019.
1678-765X
http://hdl.handle.net/11449/221288
10.20396/rdbci.v17i0.8651791
2-s2.0-85064729814
url http://dx.doi.org/10.20396/rdbci.v17i0.8651791
http://hdl.handle.net/11449/221288
identifier_str_mv Revista Digital de Biblioteconomia e Ciencia da Informacao, v. 17, n. 1, 2019.
1678-765X
10.20396/rdbci.v17i0.8651791
2-s2.0-85064729814
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Revista Digital de Biblioteconomia e Ciencia da Informacao
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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