Integrating Bayesian networks and ontology to improve safety knowledge management in construction behavior: A conceptual framework

Abstract

Addressing the challenges of intelligent decision support within traditional management approaches, this study presents a novel conceptual framework for enhancing sustainability in construction behavioral safety management. By integrating Bayesian network (BN) modeling and ontology, our framework enables robust decision-making and fosters knowledge sharing. Key to our approach is the encoding and storage of BN-modeled properties within the ontology, facilitating a formal representation of behavioral safety knowledge. Leveraging SWRL rules for reasoning and judgment, our study effectively elucidates causal relationships and interactions within the behavioral safety system. Rigorous verification, including consistency checks and task evaluations, ensures the reliability and validity of our ontology. Ultimately, our framework facilitates seamless communication and retrieval of traditional construction behavioral safety knowledge, underpinning sustainability efforts through the integrated BN model and ontology storage and sharing mechanism.