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dc.contributor.authorTeclaw, Wojciech
dc.contributor.authorOraskari, J.
dc.contributor.authorRasmussen, M.H.
dc.contributor.authorLabonnote, Nathalie
dc.contributor.authorHjelseth, Eilif
dc.date.accessioned2024-02-29T07:22:56Z
dc.date.available2024-02-29T07:22:56Z
dc.date.created2024-02-25T09:50:37Z
dc.date.issued2023
dc.identifier.isbn0-000-00001-9
dc.identifier.urihttps://hdl.handle.net/11250/3120374
dc.description.abstractIn recent decades the construction industry started a rapid digitalisation process resulting in the widely used BIM methodology. Despite developing multiple Industry Foundation Classes (IFC) schemas, the interoperability and data integration between models remains an issue. This study aims to fill this gap by providing a framework for data integration between various models, achieved by analysis of available ontologies, IFC schema limitations, and their relations. This methodology is tested based on a case study containing multiple BIM models. The study's findings are expected to enhance the connectivity between MEP components placed in different models and provide knowledge representation for developing the Digital Twin concept.en_US
dc.language.isoengen_US
dc.publisherEG-ICEen_US
dc.relation.ispartofThe 30th EG-ICE: International Conference on Intelligent Computing in Engineering
dc.titleBuilding system data integration using semanticen_US
dc.typeChapteren_US
dc.description.versionpublishedVersionen_US
dc.identifier.cristin2249483
cristin.ispublishedtrue
cristin.fulltextoriginal


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