dc.contributor.author | Martín González, Laura | |
dc.contributor.author | Lanza Calderón, Jorge | |
dc.contributor.author | González Carril, Víctor | |
dc.contributor.author | Santana Martínez, Juan Ramón | |
dc.contributor.author | Sotres García, Pablo | |
dc.contributor.author | Sánchez González, Luis | |
dc.contributor.other | Universidad de Cantabria | es_ES |
dc.date.accessioned | 2024-05-22T09:37:11Z | |
dc.date.available | 2024-05-22T09:37:11Z | |
dc.date.issued | 2024-03-06 | |
dc.identifier.issn | 1424-8220 | |
dc.identifier.other | PID2021-125725OB-I00 | es_ES |
dc.identifier.uri | https://hdl.handle.net/10902/32897 | |
dc.description.abstract | Nowadays, 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.sponsorship | This 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.extent | 17 p. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | MDPI | es_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.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.source | Sensors, 2024, 24(5), 1695 | es_ES |
dc.subject.other | NGSI-LD | es_ES |
dc.subject.other | Open Data | es_ES |
dc.subject.other | CKAN | es_ES |
dc.subject.other | DCAT-AP | es_ES |
dc.subject.other | Interworking | es_ES |
dc.title | A connector for integrating NGSI-LD data into Open Data portals | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.accessRights | openAccess | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/CEF/2020-EU-IA-0274/EU/Situation-Aware Linked heTerogeneous Enriched Data/SALTED/ | es_ES |
dc.relation.projectID | info: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.DOI | 10.3390/s24051695 | |
dc.type.version | publishedVersion | es_ES |