Abstract:

Emergency incidents endangering human lives require fast and faultless decision making. Rescues have to deal with various, often hardly predictable situations. These situations can be effectively solved on the basis of the complex knowledge that is received during education and emergency missions. Complex knowledge can be represented by the formal ontologies that are suitable for machine-processing. The main aim of the paper is to propose systematic approach for building of the OWL ontology-based decision support system that recommends suitable strategy for provision of the immediate first-aid. Preliminary phases of the systematic approach are practically demonstrated.