Logo do repositório
 
Publicação

Modelling with NGSI-LD: the VALLPASS project case study

2023Comunicação em conferência Acesso aberto
Ver registo simples
datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.sdg04:Educação de Qualidade
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorRibeiro, Tiago
dc.contributor.authorCoelho, João Paulo
dc.contributor.authorJorge, Luísa
dc.contributor.authorSardão, Joaquim
dc.contributor.authorGonçalves, José
dc.contributor.authorRosse, Higor
dc.date.accessioned2026-03-02T09:56:39Z
dc.date.available2026-03-02T09:56:39Z
dc.date.issued2023
dc.description.abstractThe smart cities paradigm covers multiple domains which span from citizens' accessibility and mobility to general infrastructures and services. Hence, smart cities can be seen as an excellent showcase of heterogeneity, namely at the data level. For this reason, they are a perfect candidate for linked data and semantic web concept applications. This powerful combination leads to interoperability at the data level which is one of the ultimate goals of the Internet of Things (IoT). In this reference frame, NGSI-LD is an open framework for context information processing consisting of both a semantic information model and a RESTful Application Programming Interface (API). This paper proposes a methodology for creating semantic data models in the context of IoT, namely to represent and describe data associated with digital twins. The methodology is presented in a practical way, through the process of creating an NGSI-LD semantic data model for the VALLPASS project, inserted in the traffic domain, which is one of the most popular in smart cities.eng
dc.description.sponsorshipThis work was supported by NORTE - FEDER funds and by Horizon 2020, within the project “VALLPASS”, NORTE-01-0247-FEDER-113439. The authors are also grateful to the Foundation for Science and Technology (FCT, Portugal) for financial support through national funds FCT/MCTES (PIDDAC) to CeDRI (UIDB/05757/2020 and UIDP/05757/2020), SusTEC (LA/P/0007/2021) and INESC Coimbra (UIDB/00308/2020).
dc.identifier.citationRibeiro, Tiago; Coelho, João Paulo; Jorge, Luísa; Sardão, Joaquim; Gonçalves, José; Rosse, Higor (2023). Modelling with NGSI-LD: the VALLPASS project case study. In 21st IEEE International Conference on Industrial Informatics, INDIN 2023. ISSN 1935-4576. 2023. p. 1-8. DOI: 10.1109/51400.2023.10218110
dc.identifier.doi10.1109/51400.2023.10218110
dc.identifier.issn1935-4576
dc.identifier.urihttp://hdl.handle.net/10198/35899
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationResearch Centre in Digitalization and Intelligent Robotics
dc.relationAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
dc.relationInstitute for Systems Engineering and Computers at Coimbra - INESC Coimbra
dc.relation.ispartof2023 IEEE 21st International Conference on Industrial Informatics (INDIN)
dc.rights.urihttp://creativecommons.org/licenses/by-nd/4.0/
dc.subjectVALLPASS project
dc.subjectNGSI-LD
dc.subjectFIWARE
dc.subjectData models
dc.subjectSmart cities
dc.titleModelling with NGSI-LD: the VALLPASS project case studyeng
dc.typeconference paper
dspace.entity.typePublication
oaire.awardNumberUIDB/05757/2020
oaire.awardNumberUIDP/05757/2020
oaire.awardNumberLA/P/0007/2020
oaire.awardNumberUIDB/00308/2020
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleResearch Centre in Digitalization and Intelligent Robotics
oaire.awardTitleAssociate Laboratory for Sustainability and Tecnology in Mountain Regions
oaire.awardTitleInstitute for Systems Engineering and Computers at Coimbra - INESC Coimbra
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00308%2F2020/PT
oaire.citation.endPage8
oaire.citation.startPage1
oaire.citation.title21st IEEE International Conference on Industrial Informatics, INDIN 2023
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameCoelho
person.familyNameJorge
person.familyNameGonçalves
person.givenNameJoão Paulo
person.givenNameLuísa
person.givenNameJosé
person.identifierR-001-EXZ
person.identifierR-000-7ZW
person.identifier.ciencia-idD61E-A586-7D4A
person.identifier.ciencia-idAB16-0263-87CB
person.identifier.ciencia-id8112-DCE2-D025
person.identifier.orcid0000-0002-7616-1383
person.identifier.orcid0000-0002-0623-7282
person.identifier.orcid0000-0002-5499-1730
person.identifier.ridJ-6887-2013
person.identifier.ridF-5156-2014
person.identifier.ridB-8547-2018
person.identifier.scopus-author-id55137039300
person.identifier.scopus-author-id22134881600
person.identifier.scopus-author-id48361230200
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublication2861f33b-b49a-421d-9bfa-92b4304d2668
relation.isAuthorOfPublication103e1f8c-bbdc-4ea3-a014-7b3b69ae5a00
relation.isAuthorOfPublication6a3b0b39-7fe9-4450-94f4-ced3941947da
relation.isAuthorOfPublication.latestForDiscovery103e1f8c-bbdc-4ea3-a014-7b3b69ae5a00
relation.isProjectOfPublication6e01ddc8-6a82-4131-bca6-84789fa234bd
relation.isProjectOfPublicationd0a17270-80a8-4985-9644-a04c2a9f2dff
relation.isProjectOfPublication6255046e-bc79-4b82-8884-8b52074b4384
relation.isProjectOfPublication63cf9cb9-63d9-43bc-95b7-91eef504ac35
relation.isProjectOfPublication.latestForDiscovery6e01ddc8-6a82-4131-bca6-84789fa234bd

Ficheiros

Principais
A mostrar 1 - 1 de 1
Miniatura
Nome:
pc71.i.pdf
Tamanho:
220.75 KB
Formato:
Adobe Portable Document Format
Ver/Abrir
Licença
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
license.txt
Tamanho:
1.75 KB
Formato:
Item-specific license agreed upon to submission
Descrição:
Ver/Abrir

Coleções

ESTiG - Publicações em Proceedings Indexadas à WoS/Scopus