2023
DOI: 10.2991/978-94-6463-262-0_114
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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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