Validation of building models against legislation using SHACL
- Author
- Emma Nuyts (UGent) , Jeroen Werbrouck (UGent) , Ruben Verstraeten (UGent) and Louise Deprez (UGent)
- Organization
- Abstract
- Building information is commonly available in a machine-readable format, whereas normative knowledge is represented in a human-readable way, making human intervention mandatory. A solution for this manual checking procedure is Automated Compliance Checking (ACC). Commercial systems rely on hard-coded requirements, which are almost as error-prone and time-consuming as manually checking the compliance, or focus solely on one specific software package. Hence, this research focuses on Semantic Web technologies to enable a faster and more transparent rule-checking process. The requirements from the legislation will be defined using the Shapes Constraint Language (SHACL). This language facilitates defining constraints in the Terse RDF Triple Language (Turtle), making one set of constraints both human- and machine-readable. Additionally, SHACL enables compliance checking to be combined with quality constraints, ensuring that all necessary data is present in the building project. The proposed methodology is applicable to any type of prescriptive building legislation, provided that the data is defined in the building graph.
- Keywords
- Automated Compliance Checking, Linked Data, SHACL
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01HCHF9JK71QP7RQCEZCQK49WC
- MLA
- Nuyts, Emma, et al. “Validation of Building Models against Legislation Using SHACL.” Proceedings of the 11th Linked Data in Architecture and Construction Workshop (LDAC2023), vol. 3633, CEUR, 2023, pp. 164–75.
- APA
- Nuyts, E., Werbrouck, J., Verstraeten, R., & Deprez, L. (2023). Validation of building models against legislation using SHACL. Proceedings of the 11th Linked Data in Architecture and Construction Workshop (LDAC2023), 3633, 164–175. CEUR.
- Chicago author-date
- Nuyts, Emma, Jeroen Werbrouck, Ruben Verstraeten, and Louise Deprez. 2023. “Validation of Building Models against Legislation Using SHACL.” In Proceedings of the 11th Linked Data in Architecture and Construction Workshop (LDAC2023), 3633:164–75. CEUR.
- Chicago author-date (all authors)
- Nuyts, Emma, Jeroen Werbrouck, Ruben Verstraeten, and Louise Deprez. 2023. “Validation of Building Models against Legislation Using SHACL.” In Proceedings of the 11th Linked Data in Architecture and Construction Workshop (LDAC2023), 3633:164–175. CEUR.
- Vancouver
- 1.Nuyts E, Werbrouck J, Verstraeten R, Deprez L. Validation of building models against legislation using SHACL. In: Proceedings of the 11th Linked Data in Architecture and Construction Workshop (LDAC2023). CEUR; 2023. p. 164–75.
- IEEE
- [1]E. Nuyts, J. Werbrouck, R. Verstraeten, and L. Deprez, “Validation of building models against legislation using SHACL,” in Proceedings of the 11th Linked Data in Architecture and Construction Workshop (LDAC2023), Matera, Italy, 2023, vol. 3633, pp. 164–175.
@inproceedings{01HCHF9JK71QP7RQCEZCQK49WC,
abstract = {{Building information is commonly available in a machine-readable format, whereas normative knowledge is represented in a human-readable way, making human intervention mandatory. A solution for this manual checking procedure is Automated Compliance Checking (ACC). Commercial systems rely on hard-coded requirements, which are almost as error-prone and time-consuming as manually checking the compliance, or focus solely on one specific software package. Hence, this research focuses on Semantic Web technologies to enable a faster and more transparent rule-checking process. The requirements from the legislation will be defined using the Shapes Constraint Language (SHACL). This language facilitates defining constraints in the Terse RDF Triple Language (Turtle), making one set of constraints both human- and machine-readable. Additionally, SHACL enables compliance checking to be combined with quality constraints, ensuring that all necessary data is present in the building project. The proposed methodology is applicable to any type of prescriptive building legislation, provided that the data is defined in the building graph.}},
author = {{Nuyts, Emma and Werbrouck, Jeroen and Verstraeten, Ruben and Deprez, Louise}},
booktitle = {{Proceedings of the 11th Linked Data in Architecture and Construction Workshop (LDAC2023)}},
issn = {{1613-0073}},
keywords = {{Automated Compliance Checking,Linked Data,SHACL}},
language = {{eng}},
location = {{Matera, Italy}},
pages = {{164--175}},
publisher = {{CEUR}},
title = {{Validation of building models against legislation using SHACL}},
volume = {{3633}},
year = {{2023}},
}