Managing Emergency Material Distribution Knowledge using Ontology-based Modeling for Emergency Distribution Decision

Aiming at the knowledge representation problem in emergency logistics, this paper presents an ontology-based modeling framework for emergency distribution decision. The suggested ontology model includes the meta-ontology, the domain ontology and the upper relationship, and it can be extended to meet the various requirements in emergency logistics application. As an illustrative example, an instance of Location Routing Problem (LRP) is defined using proposed ontology model, and a rule-based reasoning experiment is developed with Jena. The result of experiment demonstrates the effectiveness of the ontology modeling framework, which can be used as an important complement to traditional optimization methods for emergency distribution decision.