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dc.contributor.authorMartín González, Laura 
dc.contributor.authorLanza Calderón, Jorge 
dc.contributor.authorGonzález Carril, Víctor 
dc.contributor.authorSantana Martínez, Juan Ramón 
dc.contributor.authorSotres García, Pablo 
dc.contributor.authorSánchez González, Luis 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2024-05-22T09:37:11Z
dc.date.available2024-05-22T09:37:11Z
dc.date.issued2024-03-06
dc.identifier.issn1424-8220
dc.identifier.otherPID2021-125725OB-I00es_ES
dc.identifier.urihttps://hdl.handle.net/10902/32897
dc.description.abstractNowadays, there are plenty of data sources generating massive amounts of information that, combined with novel data analytics frameworks, are meant to support optimisation in many application domains. Nonetheless, there are still shortcomings in terms of data discoverability, accessibility and interoperability. Open Data portals have emerged as a shift towards openness and discoverability. However, they do not impose any condition to the data itself, just stipulate how datasets have to be described. Alternatively, the NGSI-LD standard pursues harmonisation in terms of data modelling and accessibility. This paper presents a solution that bridges these two domains (i.e., Open Data portals and NGSI-LD-based data) in order to keep benefiting from the structured description of datasets offered by Open Data portals, while ensuring the interoperability provided by the NGSI-LD standard. Our solution aggregates the data into coherent datasets and generate high-quality descriptions, ensuring comprehensiveness, interoperability and accessibility. The proposed solution has been validated through a real-world implementation that exposes IoT data in NGSI-LD format through the European Data Portal (EDP). Moreover, the results from the Metadata Quality Assessment that the EDP implements, show that the datasets’ descriptions generated achieve excellent ranking in terms of the Findability, Accessibility, Interoperability and Reusability (FAIR) data principles.es_ES
dc.description.sponsorshipThis work has been partially supported by the project SALTED (Situation-Aware Linked heterogeneous Enriched Data) from the European Union’s Connecting Europe Facility program under the Action Number 2020-EU-IA-0274, and by means of the project SITED (Semantically-enabled Interoperable Trustworthy Enriched Data-spaces) under Grant Agreement No. PID2021-125725OB-I00 funded by MCIN/AEI/10.13039/501100011033 and the European Union FEDER.es_ES
dc.format.extent17 p.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rights© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.es_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceSensors, 2024, 24(5), 1695es_ES
dc.subject.otherNGSI-LDes_ES
dc.subject.otherOpen Dataes_ES
dc.subject.otherCKANes_ES
dc.subject.otherDCAT-APes_ES
dc.subject.otherInterworkinges_ES
dc.titleA connector for integrating NGSI-LD data into Open Data portalses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsopenAccesses_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/CEF/2020-EU-IA-0274/EU/Situation-Aware Linked heTerogeneous Enriched Data/SALTED/es_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-125725OB-I00/ES/ESPACIOS DE DATOS INTEROPERABLES Y CONFIABLES HABILITADOS SEMANTICAMENTE/es_ES
dc.identifier.DOI10.3390/s24051695
dc.type.versionpublishedVersiones_ES


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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.Excepto si se señala otra cosa, la licencia del ítem se describe como © 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.