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dc.contributor.authorTeclaw, Wojciech
dc.contributor.authorRasmussen, Mads H.
dc.contributor.authorLabonnote, Nathalie
dc.contributor.authorOraskari, Jyrki
dc.contributor.authorHjelseth, Eilif
dc.date.accessioned2023-11-07T16:00:57Z
dc.date.available2023-11-07T16:00:57Z
dc.date.created2023-11-05T08:22:20Z
dc.date.issued2023
dc.identifier.citationCEUR Workshop Proceedings. 2023, .en_US
dc.identifier.issn1613-0073
dc.identifier.urihttps://hdl.handle.net/11250/3101194
dc.description.abstractOver the past few years, the construction industry has undergone technological advancements to improve efficiency and productivity. One of the latest innovations is using semantic web technologies to address interoperability issues and achieve machine interpretability of data. Despite several implementations of Industry Foundation Classes (IFC) to graph model converters, there has been no analysis of the semantic linkages between duplicated elements. This study aims to fill this gap by providing a semantic framework for linking elements in the graph representations of IFC models. This is achieved by reviewing commonly used ontologies, IFC to semantic technology converters, and using the owl:sameAs predicate. The study presents a methodology for generating additional links between duplicated elements in IFC model graph representations using selected geometrical features to address interoperability issues. The methodology is tested on domain-based IFC models and efficiently links models into a federated source of information about interdisciplinary Building Information Modelling (BIM) models. The study’s findings are expected to enhance the interoperability and semantic capabilities of BIM models, promoting collaboration and improving the efficiency of the construction industry.en_US
dc.language.isoengen_US
dc.publisherCEUR-WSen_US
dc.relation.urihttps://linkedbuildingdata.net/ldac2023/files/papers/papers/LDAC2023_paper_4062.pdf
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleThe semantic link between domain-based BIM modelsen_US
dc.title.alternativeThe semantic link between domain-based BIM modelsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber12en_US
dc.source.journalCEUR Workshop Proceedingsen_US
dc.identifier.cristin2192234
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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