This dataset accompanies the paper “geof3D: SPARQL Geometrical Functions for Co-Designing Buildings” and contains all resources required to reproduce the experiments, evaluations, and use cases presented in the work. It includes the full set of SPARQL extension functions used for 3D geometric operations, a collection of 3D geometries in Well-Known Text format used as input data, the SPARQL queries applied in the Low-Carbon Residential Lighthouse co-design use case, and the evaluation results generated from performance and correctness testing. Together, these components provide complete support for reproducing the workflows, validation steps, and analytical results described in the publication, enabling further research in semantic spatial computation and multi-disciplinary co-design.
The dataset is the release version v2.0.0 of the BHoM to bhOWL converter, which helps convert BHoM data to a knowledge graph in any software BHoM supports. BHoM (The Buildings and Habitats object Model) is collaborative framework that runs within several AEC design software, which helps to represent data in a object oriented database model. OWL (Web Ontology Language) provides a standardized and expressive language for representing knowledge and relationships within a domain. It allows for the creation of ontologies, which are formal descriptions of the concepts and relationships within a domain. Additionally, OWL can support reasoning and inference over ontologies, allowing for automated reasoning about the relationships between different concepts and data elements. This can be particularly useful in identifying inconsistencies or gaps in data, or in suggesting additional data sources or mappings that may be needed to support integration efforts. Our BHoM to bhOWL converter is developed as an extension to BHoM framework, and runs within any software that BHoM supports (eg. Grasshopper 3D, Excel, etc.) The dataset contains also example Grasshopper 3D files that exemplify the process of converting BHoM data to bhOWL.
M. Göbel, C. Zechmeister, H. Wagner, and A. Menges. 04, Landesanstalt für Landwirtschaft, Ernährung und Ländlichen Raum (LEL), IN: Landinfo Schwerpunktthema: Bioökonomie (p.30-32) ISSN: 0947-9392, (December 2025)
