Adding Geometric Functionalities to Linked Building Data using IfcOpenShell

Alex J.A. Donkers (Corresponding author), Ekaterina Petrova

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Abstract

Semantic Web Technologies enable the integration of heterogeneous building information and the verification of this integrated information against digital regulations. However, integrating geometric information and thus performing geometric compliance checks remains challenging. This paper presents a method for integrating geometric functionalities from IfcOpenShell with the semantic capabilities of Linked Building Data. It presents a Python library that enables performing geometric computations and stores the results of those computations in knowledge graphs. This novel functionality enables performing geometric compliance checks on Linked Building Data. Future work will extend this library with more functions, a user interface, and more robust testing and validation.
Original languageEnglish
Title of host publicationProceedings of the 2025 European Conference on Computing in Construction and the 42nd CIB W78 Conference on IT in Construction
Number of pages8
Publication statusAccepted/In press - 2025
Event2025 European Conference on Computing in Construction & 42nd CIB W78 Conference on IT in Construction - Porto, Portugal
Duration: 14 Jul 2025 → 17 Jul 2025

Conference

Conference2025 European Conference on Computing in Construction & 42nd CIB W78 Conference on IT in Construction
Country/TerritoryPortugal
CityPorto
Period14/07/25 → 17/07/25

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    • Geometric Compliance Checking of Heterogeneous Building Information

      Donkers, A. J. A. (corresponding author), Dülger, S. & Petrova, E., 2025, p. 40-44. 5 p.

      Research output: Contribution to conference › Abstract › Academic

      Open Access
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    • Converting Fire Safety Regulations to SHACL Shapes Using Natural Language Processing

      Donkers, A. J. A. (Corresponding author) & Petrova, E., 2024, NLP4KGC 2024 : Natural Language Processing for Knowledge Graph Creation 2024: Proceedings of the 3rd International Workshop on Natural Language Processing for Knowledge Graph Creation co-located with 20th International Conference on Semantic Systems (SEMANTiCS 2024). Vakaj, E., Iranmanesh, S., Stamartina, R., Mihindukulasooriya, N., Tiwari, S., Ortiz-Rodríguez, F. & Mcgranaghan, R. (eds.). CEUR-WS.org, 15 p. (CEUR Workshop Proceedings; vol. 3874).

      Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

      Open Access
      File

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