Publication
Context-Aware Systems Architecture in Industry 4.0: A Systematic Literature Review
| datacite.subject.fos | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática | |
| datacite.subject.fos | Engenharia e Tecnologia::Engenharia dos Materiais | |
| datacite.subject.sdg | 04:Educação de Qualidade | |
| dc.contributor.author | Santos, Arlindo | |
| dc.contributor.author | Lima, Claudio | |
| dc.contributor.author | Pinto, Tiago | |
| dc.contributor.author | Reis, Arsénio | |
| dc.contributor.author | Barroso, João | |
| dc.date.accessioned | 2025-09-25T08:58:09Z | |
| dc.date.available | 2025-09-25T08:58:09Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | Featured Application This review highlights interoperability, automation, and decision-making as critical requirements for context-aware systems in the manufacturing domain that integrate the principles of Industry 4.0. It discusses relevant patterns and technologies, identifies context gaps, emphasises ontologies' importance, and proposes directions for future research.Abstract Technological evolution has driven the integration of computing devices in various domains, giving rise to heterogeneous and dynamic intelligent environments; together with market pressure, these pose challenges in formulating an architecture that takes advantage of contextual knowledge. In terms of architectural design, we are witnessing a transition from a centralised, monolithic view of systems to a decentralised view that incorporates the vertical and horizontal dimensions of the production environment. Therefore, this review aimed to (i) identify the requirements, (ii) find out about the representation models and context inference techniques, and (iii) identify architectural technologies, norms, models, and standards. The results observed in 25 articles made it possible to identify interoperability, automation, and decision-making as convergence points and observe the adoption of ontologies as a research area for context representation. In contrast, the discussion of context inference techniques remains open. Finally, this study presents recommendations for the design of a context-aware systems architecture that incorporates the principles of Industry 4.0 and facilitates the development of applications. | eng |
| dc.description.sponsorship | The study was developed under the project A-MoVeR—“Mobilizing Agenda for the Development of Products & Systems towards an Intelligent and Green Mobility”, operation n. 02/C05-i01.01/2022.PC646908627-00000069, approved under the terms of the call n. 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.citation | Santos, A.; Lima, C.; Pinto, T.; Reis, A.; Barroso, J. (2025). Context-Aware Systems Architecture in Industry 4.0: A Systematic Literature Review. Applied Science. ISSN 2076-3417. 15:11, p. 1-23 | |
| dc.identifier.doi | 10.3390/app15115863 | |
| dc.identifier.issn | 2076-3417 | |
| dc.identifier.uri | http://hdl.handle.net/10198/34768 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | MDPI | |
| dc.relation | 02/C05-i01/2022.PC646908627-00000069 | |
| dc.relation.ispartof | Applied Sciences | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nd/4.0/ | |
| dc.subject | Information system architectures | |
| dc.subject | Industry 4.0 | |
| dc.subject | Context-aware | |
| dc.subject | Smart manufacturing | |
| dc.subject | Cyber-physical | |
| dc.subject | Systems | |
| dc.subject | Review | |
| dc.title | Context-Aware Systems Architecture in Industry 4.0: A Systematic Literature Review | eng |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/Concurso de Projetos de I&D em Todos os Domínios Científicos - 2022/2022.05381.PTDC/PT | |
| oaire.citation.endPage | 23 | |
| oaire.citation.issue | 11 | |
| oaire.citation.startPage | 1 | |
| oaire.citation.title | Applied Science | |
| oaire.citation.volume | 15 | |
| oaire.fundingStream | Concurso de Projetos de I&D em Todos os Domínios Científicos - 2022 | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Santos | |
| person.givenName | Arlindo | |
| person.identifier.ciencia-id | C411-8E15-4CDB | |
| person.identifier.orcid | 0000-0002-7531-9070 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
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