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Aligning BIM and ontology for information retrieve and reasoning in value for money assessment

Ren, Guoqian, Li, Haijiang ORCID:, Liu, Song, Goonetillake, Jaliya, Khudhair, Ali ORCID: and Arthur, Steven 2021. Aligning BIM and ontology for information retrieve and reasoning in value for money assessment. Automation in Construction 124 , 103565. 10.1016/j.autcon.2021.103565

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Value for money (VfM) assessments often lack effective automatic processes and reasoning support in public-private partnership (PPP) projects. To automate these assessments, this paper proposes a comprehensive approach that aligns with the goals of building information modeling (BIM) as the necessary information support and ontology for the knowledge process. The main contribution of this work is the retrieval of information from the BIM environment with the ontological knowledge base to enable more efficient and persuasive methods for project and finance management that facilitate decision-making rather than an experience-based approach. The constructed ontology can also be reused and further expanded to include project needs from end-user perspectives. This work is expected to further the research on expanding semantic BIM-based decision making in different infrastructure procurement projects.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: Elsevier
ISSN: 0926-5805
Date of First Compliant Deposit: 4 February 2021
Date of Acceptance: 18 January 2021
Last Modified: 08 Nov 2023 08:43

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