Building an ontological knowledgebase for bridge maintenance

Ren, Guoqian, Ding, Rui and Li, Haijiang ORCID: https://orcid.org/0000-0001-6326-8133 2019. Building an ontological knowledgebase for bridge maintenance. Advances in Engineering Software 130 , pp. 24-40. 10.1016/j.advengsoft.2019.02.001

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Abstract

The operation stage has the biggest potential value in the bridge life cycle management, and it often critically influences the overall cost of the bridge. As such, changes in the efficiency of the project's operation stage could be of significant benefit to the overall project. However, current approaches in the operation stage often lack the effective support of computer-aided tools. This research presents a holistic method based on an ontology to achieve automatic rule checking and improve the management and communication of knowledge related to bridge maintenance. The developed ontology can also facilitate a smarter decision-making process for bridge management by informing engineers of choices with different considerations. Three approaches; semantic validation, syntactical validation, and case study validation, have been adopted to evaluate this ontology and demonstrate how the developed ontology can be used by engineers when dealing with different issues. The results showed that this approach can create a holistic knowledge base that can integrate various domain knowledge to enable bridge engineers to make more comprehensive decisions rather than a single objective-targeted delivery.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Publisher:	Elsevier
ISSN:	0965-9978
Date of First Compliant Deposit:	9 March 2019
Date of Acceptance:	3 February 2019
Last Modified:	08 Nov 2023 07:29
URI:	https://orca.cardiff.ac.uk/id/eprint/120492

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