Knowledge Modeling for Emergency Rescue of Maritime Hazardous Chemicals Accident
Cheng Li,
Jing He,
Ziteng Sun
Abstract:The high-time urgency of emergency decision-making for maritime hazardous chemicals accidents requires the content and form of this knowledge to be organized in a way that facilitates decision-makers to resolve crises in a timely and creative manner. This paper proposes a CIA-ISM-based method for extracting the elements of maritime hazardous chemicals accidents, establishes a knowledge model for emergency rescue of maritime hazardous chemicals accidents, provides a more standardized and unified description of … Show more
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