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Automated construction and semantic interoperability for digital twins: integrating heterogeneous data with large language models

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datacite.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática
datacite.subject.fosEngenharia e Tecnologia::Outras Engenharias e Tecnologias
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorPilarski, Leonardo
dc.contributor.authorLuiz, Luiz Eduardo de Melo
dc.contributor.authorGomes, Gonçalo S.
dc.contributor.authorPinto, Tiago
dc.contributor.authorFilipe, Vitor M.
dc.contributor.authorBarroso, João
dc.contributor.authorRijo, Gonçalo
dc.date.accessioned2026-02-18T17:02:15Z
dc.date.available2026-02-18T17:02:15Z
dc.date.issued2025
dc.description.abstractDigital twins are increasingly used, as they allow the creation of detailed virtual representations of physical products and systems. They face, however, significant challenges such as heterogeneous data integration and high costs. This article presents an innovative methodology that uses Large Language Models to unify information and automate the generation of Digital Twin models. The proposal comprises several modules, covering the stages of data collection, semantic processing, modular construction and validation of the Digital Twin. In this way, the proposed model guarantees interoperability, efficiency and scalability for various domains.eng
dc.description.sponsorshipThe study was developed under the project A-MoVeR – “Mobilizing Agenda for the Development of Products & Systems towards an Intelligent and Green Mobility”, operation n.º 02/C05-i01.01/2022.PC646908627-00000069, approved under the terms of the call n.º 02/C05-i01/2022 – Mobilizing Agendas for Business Innovation, financed by European funds provided to Portugal by the Recovery and Resilience Plan (RRP), in the scope of the European Recovery and Resilience Facility (RRF), framed in the Next Generation UE, for the period from 2021 -2026.
dc.identifier.citationPilarski, Leonardo; Luiz, Luiz E.; Gomes, Gonçalo S.; Pinto, Tiago; Filipe, Vitor M.; Barroso, João; Rijo, Gonçalo (2025). Automated construction and semantic interoperability for digital twins: integrating heterogeneous data with large language models. In 2025 IEEE Conference on Artificial Intelligence (CAI).DOI: 10.1109/
dc.identifier.doi10.1109/cai64502.2025.00014
dc.identifier.urihttp://hdl.handle.net/10198/35790
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE
dc.relation.ispartof2025 IEEE Conference on Artificial Intelligence (CAI)
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subjectAsset administration shell
dc.subjectSemantic standardization
dc.subjectIndustrial automation
dc.subjectArtificial intelligence
dc.titleAutomated construction and semantic interoperability for digital twins: integrating heterogeneous data with large language modelseng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2025
oaire.citation.title2025 IEEE Conference on Artificial Intelligence (CAI)
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameLuiz
person.givenNameLuiz Eduardo de Melo
person.identifier.orcid0000-0001-9305-091X
relation.isAuthorOfPublication0ade9a7f-805d-4c60-9f0b-09b4e0902fe1
relation.isAuthorOfPublication.latestForDiscovery0ade9a7f-805d-4c60-9f0b-09b4e0902fe1

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