dc.creator | Haro Olmo, Francisco José de | es |
dc.creator | Valencia Parra, Álvaro | es |
dc.creator | Varela Vaca, Ángel Jesús | es |
dc.creator | Álvarez Bermejo, José Antonio | es |
dc.date.accessioned | 2022-07-18T11:17:59Z | |
dc.date.available | 2022-07-18T11:17:59Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Haro Olmo, F.J.d., Valencia Parra, Á., Varela Vaca, Á.J. y Álvarez Bermejo, J.A. (2021). Data curation in the Internet of Things: A decision model approach. Computational and Mathematical Methods, 3 (6, Art. nº e1191) | |
dc.identifier.issn | 2577-7408 | es |
dc.identifier.uri | https://hdl.handle.net/11441/135483 | |
dc.description.abstract | Current Internet of Things (IoT) scenarios have to deal with many challenges
especially when a large amount of heterogeneous data sources are integrated,
that is, data curation. In this respect, the use of poor-quality data (i.e., data with
problems) can produce terrible consequence from incorrect decision-making
to damaging the performance in the operations. Therefore, using data with an
acceptable level of usability has become essential to achieve success. In this
article, we propose an IoT-big data pipeline architecture that enables data acqui sition and data curation in any IoT context. We have customized the pipeline
by including the DMN4DQ approach to enable us the measuring and evaluat ing data quality in the data produced by IoT sensors. Further, we have chosen a
real dataset from sensors in an agricultural IoT context and we have defined a
decision model to enable us the automatic measuring and assessing of the data
quality with regard to the usability of the data in the context | es |
dc.description.sponsorship | Ministerio de Ciencia y Tecnología RTI2018-094283-B-C33 | es |
dc.format | application/pdf | es |
dc.format.extent | 11 | es |
dc.language.iso | eng | es |
dc.publisher | Wiley | es |
dc.relation.ispartof | Computational and Mathematical Methods, 3 (6, Art. nº e1191) | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Big data pipeline | es |
dc.subject | Data curation | es |
dc.subject | Data quality | es |
dc.subject | Internet of Things | es |
dc.subject | Sensors | es |
dc.title | Data curation in the Internet of Things: A decision model approach | es |
dc.type | info:eu-repo/semantics/article | es |
dc.type.version | info:eu-repo/semantics/publishedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.relation.projectID | RTI2018-094283-B-C33 | es |
dc.relation.publisherversion | https://onlinelibrary.wiley.com/doi/10.1002/cmm4.1191 | es |
dc.identifier.doi | 10.1002/cmm4.1191 | es |
dc.contributor.group | Universidad de Sevilla. TIC258: Data-centric Computing Research Hub | es |
dc.journaltitle | Computational and Mathematical Methods | es |
dc.publication.volumen | 3 | es |
dc.publication.issue | 6, Art. nº e1191 | es |
dc.contributor.funder | Ministerio de Ciencia Y Tecnología (MCYT). España | es |