Business Model-Driven Ontology Knowledge Representation and Application for Emergency Logistics

To solve the problem of heterogeneous information integration and knowledge management in the emergency logistics intelligent collaboration, aiming at the effective knowledge application, an ontology modeling method was proposed by utilizing the internal mapping of components and the business inference rules between business model and ontology model, involving relations among three modules and a four-step transformation process. Based on the suggested modeling method, an emergency logistics ontology model composed of concept aggregation, concept attribute, semantic restriction, and reasoning rules was constructed. As a case study, an emergency distribution routing problem was addressed by implementing the ontology model and reasoning out the neighboring alternative nodes. The result shows that the proposed ontology model and its application can achieve the heterogeneous information integration with ontology, eliminating the conventional retrieval invalid phenomenon, satisfying the conditions of the shortest path routing, and providing the knowledge base for the emergency logistics decision-making model and its algorithm application.