Don’t Shoehorn, but Link Compliance Checking Data

  • Ruben Kruiper*
  • , Ioannis Konstas
  • , Alasdair J. G. Gray
  • , Farhad Sadeghineko
  • , Richard Watson
  • , Bimal Kumar
  • *Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

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
Pages (from-to)151-163
Number of pages13
JournalCEUR Workshop Proceedings
Volume3633
Publication statusPublished - 1 Feb 2024
Event11th Linked Data in Architecture and Construction Workshop 2023 - Matera, Italy
Duration: 15 Jul 202316 Jul 2023
https://linkedbuildingdata.net/ldac2023/

Keywords

  • Automated Compliance Checking
  • Building Regulations
  • Linked Data

ASJC Scopus subject areas

  • General Computer Science

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