Linked data to streaming data sensors sources for direct access

Goal: Industrial operations are complex, and data sensors assure safety and reliable information for production improvements. Multiple stakeholders can take advantage of data acquisition for post-analysis and process control. Providing users and systems with friendly access to operating data is fund...

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Detalhes bibliográficos
Autores: Calvetti, Diego, Nascimento, Daniel Luiz de Mattos, Araújo Filho, Flávio, Abreu, Rafael, Papadopoulos, Nicolas
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Recursos:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:2445/224752
Acesso em linha:https://hdl.handle.net/2445/224752
Access Level:acceso abierto
Palavra-chave:Dades enllaçades
Xarxes de sensors
Linked data
Sensor networks
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spelling Linked data to streaming data sensors sources for direct accessCalvetti, DiegoNascimento, Daniel Luiz de MattosAraújo Filho, FlávioAbreu, RafaelPapadopoulos, NicolasDades enllaçadesXarxes de sensorsLinked dataSensor networksGoal: Industrial operations are complex, and data sensors assure safety and reliable information for production improvements. Multiple stakeholders can take advantage of data acquisition for post-analysis and process control. Providing users and systems with friendly access to operating data is fundamental to the digital transition in the industry 4.0 scenario. Linking data and systems over ontologies and Industry Foundation Classes will boost supply chain performance in many layers. This paper presents the concept of valid data points over Uniform Resource Identifiers for sensor time-series into triples stores via Application Programming Interfaces. (...)Associação Brasileira de Engenharia de Produção2025202520242025info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion14 p.application/pdfhttps://hdl.handle.net/2445/224752Articles publicats en revistes (Empresa)reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésReproducció del document publicat a: https://doi.org/10.14488/BJOPM.1993.2024Brazilian Journal of Operations & Production Management, 2024, vol. 21, num.1, p. 1-14https://doi.org/10.14488/BJOPM.1993.2024cc-by (c) Calvetti, D. et al., 2024http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:recercat.cat:2445/2247522026-05-29T05:05:01Z
dc.title.none.fl_str_mv Linked data to streaming data sensors sources for direct access
title Linked data to streaming data sensors sources for direct access
spellingShingle Linked data to streaming data sensors sources for direct access
Calvetti, Diego
Dades enllaçades
Xarxes de sensors
Linked data
Sensor networks
title_short Linked data to streaming data sensors sources for direct access
title_full Linked data to streaming data sensors sources for direct access
title_fullStr Linked data to streaming data sensors sources for direct access
title_full_unstemmed Linked data to streaming data sensors sources for direct access
title_sort Linked data to streaming data sensors sources for direct access
dc.creator.none.fl_str_mv Calvetti, Diego
Nascimento, Daniel Luiz de Mattos
Araújo Filho, Flávio
Abreu, Rafael
Papadopoulos, Nicolas
author Calvetti, Diego
author_facet Calvetti, Diego
Nascimento, Daniel Luiz de Mattos
Araújo Filho, Flávio
Abreu, Rafael
Papadopoulos, Nicolas
author_role author
author2 Nascimento, Daniel Luiz de Mattos
Araújo Filho, Flávio
Abreu, Rafael
Papadopoulos, Nicolas
author2_role author
author
author
author
dc.subject.none.fl_str_mv Dades enllaçades
Xarxes de sensors
Linked data
Sensor networks
topic Dades enllaçades
Xarxes de sensors
Linked data
Sensor networks
description Goal: Industrial operations are complex, and data sensors assure safety and reliable information for production improvements. Multiple stakeholders can take advantage of data acquisition for post-analysis and process control. Providing users and systems with friendly access to operating data is fundamental to the digital transition in the industry 4.0 scenario. Linking data and systems over ontologies and Industry Foundation Classes will boost supply chain performance in many layers. This paper presents the concept of valid data points over Uniform Resource Identifiers for sensor time-series into triples stores via Application Programming Interfaces. (...)
publishDate 2024
dc.date.none.fl_str_mv 2024
2025
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/224752
url https://hdl.handle.net/2445/224752
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: https://doi.org/10.14488/BJOPM.1993.2024
Brazilian Journal of Operations & Production Management, 2024, vol. 21, num.1, p. 1-14
https://doi.org/10.14488/BJOPM.1993.2024
dc.rights.none.fl_str_mv cc-by (c) Calvetti, D. et al., 2024
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc-by (c) Calvetti, D. et al., 2024
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 14 p.
application/pdf
dc.publisher.none.fl_str_mv Associação Brasileira de Engenharia de Produção
publisher.none.fl_str_mv Associação Brasileira de Engenharia de Produção
dc.source.none.fl_str_mv Articles publicats en revistes (Empresa)
reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,811543

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