Ontology-Driven Mixture-of-Domain Documentation: A Backbone Approach Enabling Question Answering for Additive Construction
Advanced construction techniques, such as additive manufacturing (AM) and modular construction, offer promising solutions to address labor shortages, reduce CO<sub>2</sub> emissions, and enhance material efficiency. Despite their potential, the adoption of these innovative methods is hin...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Buildings |
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| Online Access: | https://www.mdpi.com/2075-5309/15/1/133 |
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| author | Chao Li Frank Petzold |
| author_facet | Chao Li Frank Petzold |
| author_sort | Chao Li |
| collection | DOAJ |
| description | Advanced construction techniques, such as additive manufacturing (AM) and modular construction, offer promising solutions to address labor shortages, reduce CO<sub>2</sub> emissions, and enhance material efficiency. Despite their potential, the adoption of these innovative methods is hindered by the construction industry’s fragmented expertise. Building Information Modeling (BIM) is frequently suggested to integrate this diverse knowledge, but existing BIM-based approaches lack a robust framework for systematically documenting and retrieving the cross-domain knowledge essential for construction projects. To bridge this gap, this paper presents an ontology-driven methodology for documenting and utilizing expert knowledge, with a focus on AM in construction. Based on a well-founded ontological framework, a set of modular ontologies is formalized for individual domains. Additionally, a prototypical documentation tool is developed to elevate recorded information and BIM models as a knowledge graph. This knowledge graph will interface with advanced large language models (LLMs), enabling effective question answering and knowledge retrieval. |
| format | Article |
| id | doaj-art-71d17286ffc34232ac3c83be7456a53d |
| institution | Kabale University |
| issn | 2075-5309 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Buildings |
| spelling | doaj-art-71d17286ffc34232ac3c83be7456a53d2025-01-10T13:16:09ZengMDPI AGBuildings2075-53092025-01-0115113310.3390/buildings15010133Ontology-Driven Mixture-of-Domain Documentation: A Backbone Approach Enabling Question Answering for Additive ConstructionChao Li0Frank Petzold1Chair of Architectural Informatics, TUM School of Engineering and Design, Technical University of Munich, 80333 Munich, GermanyChair of Architectural Informatics, TUM School of Engineering and Design, Technical University of Munich, 80333 Munich, GermanyAdvanced construction techniques, such as additive manufacturing (AM) and modular construction, offer promising solutions to address labor shortages, reduce CO<sub>2</sub> emissions, and enhance material efficiency. Despite their potential, the adoption of these innovative methods is hindered by the construction industry’s fragmented expertise. Building Information Modeling (BIM) is frequently suggested to integrate this diverse knowledge, but existing BIM-based approaches lack a robust framework for systematically documenting and retrieving the cross-domain knowledge essential for construction projects. To bridge this gap, this paper presents an ontology-driven methodology for documenting and utilizing expert knowledge, with a focus on AM in construction. Based on a well-founded ontological framework, a set of modular ontologies is formalized for individual domains. Additionally, a prototypical documentation tool is developed to elevate recorded information and BIM models as a knowledge graph. This knowledge graph will interface with advanced large language models (LLMs), enabling effective question answering and knowledge retrieval.https://www.mdpi.com/2075-5309/15/1/133additive constructionontologybuilding information modelingdocumentation |
| spellingShingle | Chao Li Frank Petzold Ontology-Driven Mixture-of-Domain Documentation: A Backbone Approach Enabling Question Answering for Additive Construction Buildings additive construction ontology building information modeling documentation |
| title | Ontology-Driven Mixture-of-Domain Documentation: A Backbone Approach Enabling Question Answering for Additive Construction |
| title_full | Ontology-Driven Mixture-of-Domain Documentation: A Backbone Approach Enabling Question Answering for Additive Construction |
| title_fullStr | Ontology-Driven Mixture-of-Domain Documentation: A Backbone Approach Enabling Question Answering for Additive Construction |
| title_full_unstemmed | Ontology-Driven Mixture-of-Domain Documentation: A Backbone Approach Enabling Question Answering for Additive Construction |
| title_short | Ontology-Driven Mixture-of-Domain Documentation: A Backbone Approach Enabling Question Answering for Additive Construction |
| title_sort | ontology driven mixture of domain documentation a backbone approach enabling question answering for additive construction |
| topic | additive construction ontology building information modeling documentation |
| url | https://www.mdpi.com/2075-5309/15/1/133 |
| work_keys_str_mv | AT chaoli ontologydrivenmixtureofdomaindocumentationabackboneapproachenablingquestionansweringforadditiveconstruction AT frankpetzold ontologydrivenmixtureofdomaindocumentationabackboneapproachenablingquestionansweringforadditiveconstruction |