Taking stock: a Linked Data inventory of Compliance Checking terms derived from building regulations

Ruben Krupier*, Ioannis Konstas, Alasdair Gray, Farhad Sadeghineko, Richard Watson, Bimal Kumar

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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Compliance Checking (CC) would be a lot easier if we could automatically map between (1) terms that occur in building regulations and (2) elements of buildings and building products. However, the terminology used in the regulations is vastly different from the terminology found in Building Information Models (BIM). We are therefore forced to somehow shoehorn the vocabulary of regulatory terms into a set of classes that may well be several orders of magnitude smaller. This paper aims to reduce the gap between terms found verbatim in the regulations, and the classes that exist in Linked Data Vocabularies in Architecture and Construction. We explore the automated extraction of domain terminology from building regulations, and interlink the resulting terms with existing controlled vocabularies like Uniclass. The resulting Knowledge Graph (KG) can be used to suggest relevant and related domain terminology, which improves collecting the inventory of Linked Data terms required for CC.
Original languageEnglish
Title of host publicationLDAC 2023
Subtitle of host publicationLinked Data in Architecture and Construction 2023
Place of PublicationAachen, Germany
Number of pages16
Publication statusPublished - 15 Jun 2023
Event11th Linked Data in Architecture and Construction Workshop - Casa delle Tecnologie Emergenti (CTE), Matera, Italy
Duration: 15 Jun 202316 Jun 2023

Publication series

NameCEUR Workshop Proceedings
ISSN (Electronic)1613-0073


Conference11th Linked Data in Architecture and Construction Workshop
Abbreviated titleLDAC 2023
Internet address

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