Overcoming the barriers of using linked open data in smart city applications

Accurate, reliable, and highly available data is one of the critical aspects of the proper development of a smart city. In this article, we study the benefits and challenges of using Linked Open Data in smart city applications highlighting their main adoption barriers like the lack of standardizatio...

Descripción completa

Detalles Bibliográficos
Autores: Conde Díaz, Javier, Muñoz Arcentales, Andrés, Choque Ollachica, Johnny|||0000-0002-6049-8280, Huecas Fernández-Toribio, Gabriel, Alonso González, Álvaro
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universidad de Cantabria (UC)
Repositorio:UCrea Repositorio Abierto de la Universidad de Cantabria
Idioma:inglés
OAI Identifier:oai:repositorio.unican.es:10902/28377
Acceso en línea:https://hdl.handle.net/10902/28377
Access Level:acceso abierto
id ES_7541eff5ff5e43f090ef899cbf756bdf
oai_identifier_str oai:repositorio.unican.es:10902/28377
network_acronym_str ES
network_name_str España
repository_id_str
spelling Overcoming the barriers of using linked open data in smart city applicationsConde Díaz, JavierMuñoz Arcentales, AndrésChoque Ollachica, Johnny|||0000-0002-6049-8280Huecas Fernández-Toribio, GabrielAlonso González, ÁlvaroAccurate, reliable, and highly available data is one of the critical aspects of the proper development of a smart city. In this article, we study the benefits and challenges of using Linked Open Data in smart city applications highlighting their main adoption barriers like the lack of standardization, and the difficulties of publishing and consuming Open Data sources. Our research proposes a set of open-source, high-scalable, and mature tools to overcome these challenges, providing a complete description of how those components can be integrated to enable and improve the way to publish and consume Linked Open Data in the ecosystem of smart city applications and its technological enablers (IoT, Artificial Intelligence, etc.). Finally, we validate our proposal within the case of a public-rental bicycle system. The set of tools presented is agnostic to the field of application, thus, this case acts as a reference guide for other smart city applications.This research was funded by Programa Propio UPM and cofinanced by the Connection Europe Facility of the European Union under 2019-ES-IA0121 of the European Commission: Your Open Data.Institute of Electrical and Electronics Engineers, Inc.Universidad de Cantabria20222022-12-01journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articlehttps://hdl.handle.net/10902/28377Computer, 2022, 55(12), 109-118reponame:UCrea Repositorio Abierto de la Universidad de Cantabriainstname:Universidad de Cantabria (UC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:repositorio.unican.es:10902/283772026-06-02T12:39:31Z
dc.title.none.fl_str_mv Overcoming the barriers of using linked open data in smart city applications
title Overcoming the barriers of using linked open data in smart city applications
spellingShingle Overcoming the barriers of using linked open data in smart city applications
Conde Díaz, Javier
title_short Overcoming the barriers of using linked open data in smart city applications
title_full Overcoming the barriers of using linked open data in smart city applications
title_fullStr Overcoming the barriers of using linked open data in smart city applications
title_full_unstemmed Overcoming the barriers of using linked open data in smart city applications
title_sort Overcoming the barriers of using linked open data in smart city applications
dc.creator.none.fl_str_mv Conde Díaz, Javier
Muñoz Arcentales, Andrés
Choque Ollachica, Johnny|||0000-0002-6049-8280
Huecas Fernández-Toribio, Gabriel
Alonso González, Álvaro
author Conde Díaz, Javier
author_facet Conde Díaz, Javier
Muñoz Arcentales, Andrés
Choque Ollachica, Johnny|||0000-0002-6049-8280
Huecas Fernández-Toribio, Gabriel
Alonso González, Álvaro
author_role author
author2 Muñoz Arcentales, Andrés
Choque Ollachica, Johnny|||0000-0002-6049-8280
Huecas Fernández-Toribio, Gabriel
Alonso González, Álvaro
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidad de Cantabria
description Accurate, reliable, and highly available data is one of the critical aspects of the proper development of a smart city. In this article, we study the benefits and challenges of using Linked Open Data in smart city applications highlighting their main adoption barriers like the lack of standardization, and the difficulties of publishing and consuming Open Data sources. Our research proposes a set of open-source, high-scalable, and mature tools to overcome these challenges, providing a complete description of how those components can be integrated to enable and improve the way to publish and consume Linked Open Data in the ecosystem of smart city applications and its technological enablers (IoT, Artificial Intelligence, etc.). Finally, we validate our proposal within the case of a public-rental bicycle system. The set of tools presented is agnostic to the field of application, thus, this case acts as a reference guide for other smart city applications.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-12-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10902/28377
url https://hdl.handle.net/10902/28377
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers, Inc.
publisher.none.fl_str_mv Institute of Electrical and Electronics Engineers, Inc.
dc.source.none.fl_str_mv Computer, 2022, 55(12), 109-118
reponame:UCrea Repositorio Abierto de la Universidad de Cantabria
instname:Universidad de Cantabria (UC)
instname_str Universidad de Cantabria (UC)
reponame_str UCrea Repositorio Abierto de la Universidad de Cantabria
collection UCrea Repositorio Abierto de la Universidad de Cantabria
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869410967625924608
score 15,300719