Ontology-Based Retrieval System for Emergency Preparedness Documents in Urban Rail Transit Construction Projects

Abstract

China’s urban rail transportation sector has been developing rapidly in recent years. However, frequent construction activities have led to more construction safety accidents, resulting in life and economic losses. To deal with safety accidents, emergency preparedness documents are fully developed. Based on the theory of ontology, this study proposed a case-based reasoning method that can retrieve the most similar cases to the target case and help to develop emergency preparedness documents quickly and efficiently. Specifically, an ontological framework for urban rail construction safety was constructed first in the Protégé platform based on risk factors of urban rail construction projects. Then, a case retrieval method was proposed, calculating the similarities between source cases and target cases. The analytic hierarchy process was used to determine the weights of each risk factor to match the most similar cases and provide a reference for the rapid generation of emergency preparedness of target cases. This study contributes to the current body of knowledge by providing valuable examples for the application of ontology-based case-based reasoning technology in the field of hazard management, which not only realizes knowledge sharing and full and effective utilization of past experiences but also significantly improves the hazard prevention and emergency preparedness capabilities in urban rail transit construction projects. At the same time, this study makes hazard management more systematic and efficient and provides important support for the long-term sustainable development of the urban rail transit construction industry in both social and economic dimensions.