Context-driven ontology-based risk identification for onshore wind farm projects: A domain-specific approach

Mohamed, Emad; Gerami Seresht, Nima; AbouRizk, Simaan

Abstract

Risk identification is a knowledge-based process that requires the time-consuming and laborious identification of project-specific risk factors. Current practices for risk identification in construction rely heavily on an expert’s subjective knowledge of the current project and of similar historical projects to determine if a risk may affect the project under study. When quantitative risk-related data are available, they are often stored across multiple sources and in different types of documents complicating data sharing and reuse. The present study introduces an ontology-based approach for construction risk identification that maps and automates the representation of project context and risk information, thereby enhancing the storage, sharing, and reuse of knowledge for the purpose of risk identification. The study also presents a novel wind farm construction project risk ontology that has been validated by a group of industry experts. The resulting ontology-based risk identification approach is able to accommodate project context in the risk identification process and, through implementation of the proposed approach, has identified risk factors that affect the construction of onshore wind farm projects.

Citation

Mohamed, E., Gerami Seresht, N., & AbouRizk, S. (2023). Context-driven ontology-based risk identification for onshore wind farm projects: A domain-specific approach. Advanced Engineering Informatics, 56, 101962. https://doi.org/10.1016/j.aei.2023.101962

• Journal Article Type: Article
• Acceptance Date: Mar 24, 2023
• Online Publication Date: Mar 24, 2023
• Publication Date: 2023-04
• Deposit Date: Oct 11, 2023
• Publicly Available Date: Mar 25, 2024
• Journal: Advanced Engineering Informatics
• Print ISSN: 1474-0346
• Publisher: Elsevier
• Peer Reviewed: Peer Reviewed
• Volume: 56
• Pages: 101962
• DOI: https://doi.org/10.1016/j.aei.2023.101962
• Public URL: https://durham-repository.worktribe.com/output/1789373
• Additional Information: This article is maintained by: Elsevier; Article Title: Context-driven ontology-based risk identification for onshore wind farm projects: A domain-specific approach; Journal Title: Advanced Engineering Informatics; CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.aei.2023.101962; Content Type: article; Copyright: © 2023 Elsevier Ltd. All rights reserved.