DC FieldValueLanguage
dc.contributor.authorBrings, Jennifer-
dc.contributor.authorDaun, Marian-
dc.contributor.authorHildebrandt, Constantin-
dc.contributor.authorTörsleff, Sebastian-
dc.date.accessioned2023-03-23T13:33:43Z-
dc.date.available2023-03-23T13:33:43Z-
dc.date.issued2018-01-01-
dc.identifier.isbn9789897582837-
dc.description.abstractCyber-physical systems are highly collaborative by nature. At runtime these systems collaborate with each other to achieve goals that a single system could not achieve on its own. For example, autonomous vehicles can dynamically form convoys at runtime to facilitate higher traffic throughput and a reduction in CO2 emissions. While the importance of context documentation and analysis in system development is well known, current model-based engineering approaches struggle with the size and complexity of cyber-physical systems’ contexts. This is due to high variety and dynamicity of the contexts to be considered. For example, a convoy to be formed at runtime may consist of different numbers of participating vehicles. Additionally, it may face different neighboring, not partaking context systems (e.g., non-equipped vehicles, equipped but not participating vehicles) and situations (e.g., speed limits, road construction sites, emergency vehicles). This paper proposes a context ontology to cope with highly dynamic contexts of cyber-physical systems by explicitly differentiating between not only the system and its context but also between the cyber-physical system network the system participates in, as well as the system network’s context.-
dc.description.sponsorshipAutomatisierungstechnik-
dc.language.isoeng-
dc.publisherSCITEPRESS - Science and Technology Publications, Lda.-
dc.subjectCollaborative System-
dc.subjectContext-
dc.subjectContext Modeling-
dc.subjectCyber-physical Systems-
dc.subjectDynamic Context-
dc.titleAn ontological context modeling framework for coping with the dynamic contexts of cyber-physical systems-
dc.typeConference Object-
dc.relation.conferenceMODELSWARD 2018 – 6th International Conference on Model-Driven Engineering and Software Development, 22.-24.01.2018, Funchal, Madeira-
dc.identifier.doi10.5220/0006603403960403-
dc.identifier.scopus2-s2.0-85051027420-
dcterms.bibliographicCitation.pagestart396-
dcterms.bibliographicCitation.pageend403-
dcterms.bibliographicCitation.originalpublisherplaceSetúbal, Portugal-
dcterms.bibliographicCitation.booktitleMODELSWARD 2018 - Proceedings of the 6th International Conference on Model-Driven Engineering and Software Development-
local.submission.typeonly-metadata-
dc.type.conferenceObjectConference Paper-
hsu.peerReviewed-
item.grantfulltextnone-
item.languageiso639-1en-
item.fulltext_sNo Fulltext-
item.openairetypeConference Object-
item.fulltextNo Fulltext-
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