Abstract
In recent years, the South China Sea has faced a surge in marine meteorological disasters, causing substantial financial impacts across Asia and threatening the livelihoods of coastal communities. Despite earnest disaster prevention and mitigation efforts, formidable challenges persist in offshore engineering.
This study conducts a comprehensive analysis of potential transformations, structural failures, and collapses in offshore infrastructure under specific marine and meteorological conditions. It aims to deepen the understanding of the complex and dynamic mechanisms underlying marine disasters. To achieve this, a bottom-up multidimensional feature extraction approach is employed from historical data, considering temporal, spatial, and textual dimensions. Parameters such as spatial-temporal data, physical characteristics, geographical locations, meteorological conditions, and marine environmental factors are meticulously considered. The identified multidimensional features are then analyzed and integrated into an ontology representation, describing the intricate relationship between properties and marine infrastructure disasters. This comprehensive disaster ontology is structured using ontological and feature engineering, encompassing both ontology and epistemological data layers.
In conclusion, this study contributes to improving disaster preparedness and response strategies in the South China Sea and similar regions. By addressing offshore engineering intricacies during marine disasters, it offers valuable insights for more effective risk management and mitigation measures in the future.
