Adding Geometric Functionalities to Linked Building Data Using IfcOpenShell

Alex Donkers, Ekaterina Petrova
DOI: 10.35490/EC3.2025.446
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.
Keywords: Automated compliance checking, geometric data, IfcOpenShell, Linked Building Data, SHACL
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