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AEC Co-design workflow for cross-domain querying and reasoning using Semantic Web Technologies

AEC Co-design workflow for cross-domain querying and reasoning using Semantic Web Technologies
AEC Co-design workflow for cross-domain querying and reasoning using Semantic Web Technologies
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.
Co-design workflow, Data integration, Federated querying, Knowledge graphs, Ontology, Tool integration
0926-5805
Elshani, Diellza
f9b9d4ea-af10-4a95-85c0-b1ac0cb5eac2
Lombardi, Alessio
43d6215b-084d-4957-832d-045931054988
Hernandez, Daniel
39723173-ccff-4015-b506-cec5aec76936
Staab, Steffen
bf48d51b-bd11-4d58-8e1c-4e6e03b30c49
Fisher, Al
39ce28da-b08b-4e41-bc22-d61678098464
Wortmann, Thomas
8edfb0ab-844e-42cd-9237-0f34644b6ffc
Elshani, Diellza
f9b9d4ea-af10-4a95-85c0-b1ac0cb5eac2
Lombardi, Alessio
43d6215b-084d-4957-832d-045931054988
Hernandez, Daniel
39723173-ccff-4015-b506-cec5aec76936
Staab, Steffen
bf48d51b-bd11-4d58-8e1c-4e6e03b30c49
Fisher, Al
39ce28da-b08b-4e41-bc22-d61678098464
Wortmann, Thomas
8edfb0ab-844e-42cd-9237-0f34644b6ffc

Elshani, Diellza, Lombardi, Alessio, Hernandez, Daniel, Staab, Steffen, Fisher, Al and Wortmann, Thomas (2025) AEC Co-design workflow for cross-domain querying and reasoning using Semantic Web Technologies. Automation in Construction, 176, [106226]. (doi:10.1016/j.autcon.2025.106226).

Record type: Article

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.

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More information

Accepted/In Press date: 19 April 2025
e-pub ahead of print date: 14 May 2025
Published date: 14 May 2025
Keywords: Co-design workflow, Data integration, Federated querying, Knowledge graphs, Ontology, Tool integration

Identifiers

Local EPrints ID: 502852
URI: http://eprints.soton.ac.uk/id/eprint/502852
ISSN: 0926-5805
PURE UUID: 0758f82d-54fa-4d21-ae5f-72d39cdf03eb
ORCID for Steffen Staab: ORCID iD orcid.org/0000-0002-0780-4154

Catalogue record

Date deposited: 10 Jul 2025 16:30
Last modified: 22 Aug 2025 02:13

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Contributors

Author: Diellza Elshani
Author: Alessio Lombardi
Author: Daniel Hernandez
Author: Steffen Staab ORCID iD
Author: Al Fisher
Author: Thomas Wortmann

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