%0 Journal Article %1 ELSHANI2025106226 %A Elshani, Diellza %A Lombardi, Alessio %A Hernandez, Daniel %A Staab, Steffen %A Fisher, Al %A Wortmann, Thomas %D 2025 %J Automation in Construction %K peer ai %P 106226 %R https://doi.org/10.1016/j.autcon.2025.106226 %T AEC Co-design workflow for cross-domain querying and reasoning using Semantic Web Technologies %U https://www.sciencedirect.com/science/article/pii/S0926580525002663 %V 176 %X The Architecture, Engineering, and Construction (AEC) industry faces data integration challenges due to fragmented silos and diverse data representations, hindering cross-domain queries and early detection of design constraints. Semantic Web Technologies (SWTs) address data integration challenges. This paper evaluates the impact of SWTs on co-design workflows by comparing them with alternative approaches to assess their effectiveness in supporting interdisciplinary collaboration and design constraint detection. Using Design Science Research, a co-design methodology is developed that integrates SWTs with AEC tools for reasoning and federated querying. A component of this methodology is a bidirectional mapping strategy for translating object-oriented data models, demonstrated with the Building Habitat Object Model (BHoM), an AEC interoperability framework. Findings reveal that integrating SWTs enables reasoning and complex queries across federated datasets, improving co-design efficiency. These findings support AEC professionals in advancing co-design and data-driven decision-making, while also informing future research on integrating SWTs into AEC design workflows.

@article{ELSHANI2025106226, abstract = {The Architecture, Engineering, and Construction (AEC) industry faces data integration challenges due to fragmented silos and diverse data representations, hindering cross-domain queries and early detection of design constraints. Semantic Web Technologies (SWTs) address data integration challenges. This paper evaluates the impact of SWTs on co-design workflows by comparing them with alternative approaches to assess their effectiveness in supporting interdisciplinary collaboration and design constraint detection. Using Design Science Research, a co-design methodology is developed that integrates SWTs with AEC tools for reasoning and federated querying. A component of this methodology is a bidirectional mapping strategy for translating object-oriented data models, demonstrated with the Building Habitat Object Model (BHoM), an AEC interoperability framework. Findings reveal that integrating SWTs enables reasoning and complex queries across federated datasets, improving co-design efficiency. These findings support AEC professionals in advancing co-design and data-driven decision-making, while also informing future research on integrating SWTs into AEC design workflows.}, added-at = {2025-05-21T14:22:17.000+0200}, author = {Elshani, Diellza and Lombardi, Alessio and Hernandez, Daniel and Staab, Steffen and Fisher, Al and Wortmann, Thomas}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/202d38b713bfb72dbee9e08535662b2d0/icd}, doi = {https://doi.org/10.1016/j.autcon.2025.106226}, interhash = {0417fe8a19728e0fda85a4c3293139e3}, intrahash = {02d38b713bfb72dbee9e08535662b2d0}, issn = {0926-5805}, journal = {Automation in Construction}, keywords = {peer ai}, pages = 106226, timestamp = {2025-05-21T14:22:17.000+0200}, title = {AEC Co-design workflow for cross-domain querying and reasoning using Semantic Web Technologies}, url = {https://www.sciencedirect.com/science/article/pii/S0926580525002663}, volume = 176, year = 2025 }