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Ontology-based semantic modeling of construction safety knowledge: Towards automated safety planning for job hazard analysis (JHA)

journal contribution
posted on 2024-11-01, 18:29 authored by Sijie Zhang, Frank BoukampFrank Boukamp, Jochen Teizer
Construction safety related knowledge and project specific information are scattered and fragmented. Despite technological advancements of information and knowledge management in the building and construction industry, a link between safety management and information models is still missing. The objective of this study is to investigate a new approach to organize, store and re-use construction safety knowledge. A construction safety ontology is proposed to formalize the safety management knowledge. It consists of three main domain ontology models, including Construction Product Model, Construction Process Model, and Construction Safety Model. One-on-one expert interviews were conducted for ontology evaluation. The interaction between safety ontology and Building Information Modeling (BIM) is also explored. A prototype application of ontology-based job hazard analysis (JHA) and visualization is implemented to further illustrate the applicability and effectiveness of the developed ontology. The developed construction safety ontology enables more effective inquiry of safety knowledge, which is the first step towards automated safety planning for JHA using BIM.

History

Journal

Automation in Construction

Volume

52

Start page

29

End page

41

Total pages

13

Publisher

Elsevier

Place published

United Kingdom

Language

English

Copyright

© 2015 Elsevier B.V. All rights reserved.

Former Identifier

2006053330

Esploro creation date

2020-06-22

Fedora creation date

2015-09-29