Don’t shoehorn, but link compliance checking data

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

*Corresponding author for this work

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

1 Citation (Scopus)
22 Downloads (Pure)

Abstract

Wouldn’t it be great if we could automatically check whether a Building Information Model (BIM)complies with all the relevant building regulations? Despite a plethora of motivations and a long history of research, the Automated Compliance Checking (ACC) problem is far from solved. We argue that a general solution to ACC may not be feasible based on three fundamental difficulties: (1) semantic parsing of regulatory texts, (2) a mismatch in requirements for representing a building project and representing the building elements that ACC rules refer to, and (3) the lack of a strategy to align ACC rules to each other and to building representations. We identify the need for tools that support the use building regulations for their diverse group of users, e.g., not only during Compliance Checking. Our conclusion is that a Linked Data approach is particularly suited to the development of such support tools.
Original languageEnglish
Title of host publicationLDAC 2023
Subtitle of host publicationLinked Data in Architecture and Construction 2023
Place of PublicationAachen, Germany
PublisherCEUR
Number of pages13
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
https://linkedbuildingdata.net/ldac2023/

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR
ISSN (Electronic)1613-0073

Conference

Conference11th Linked Data in Architecture and Construction Workshop
Abbreviated titleLDAC 2023
Country/TerritoryItaly
CityMatera
Period15/06/2316/06/23
Internet address

Keywords

  • Automated Compliance Checking
  • Linked Data
  • Building Regulations

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