Abstract
Construction projects face a high level of dynamic and various risks. Risks may result in deviation from pre-determined construction project’ objectives. Systematic risk analysis is critical for sharing risk information related to decision making thus effective risk management. In this study, a Risk Analysis Ontology RA-Onto is proposed that may facilitates development of databases and information sharing for risk analysis. A detailed review of the literature on construction risks has been carried out to development of the RA-Onto that organizes risk knowledge into unified classes together with corresponding properties and relations. Ontology is evaluated theoretically and practically by using five case studies. RA-Onto could be used to support decision-making during the risk management. It enables companies to corporate memories, create databases, and develop a model to support the systematic risk analysis for better decision making.
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Aldbs, H., Jrad, F., Saoud, L., Saleh, H. (2023). An Ontology Model to Facilitate Sharing Risk Information and Analysis in Construction Projects. In: Czarnowski, I., Howlett, R., Jain, L.C. (eds) Intelligent Decision Technologies. KESIDT 2023. Smart Innovation, Systems and Technologies, vol 352. Springer, Singapore. https://doi.org/10.1007/978-981-99-2969-6_21
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