Research of Knowledge Base System Based on Ontology for Drilling Accident Emergency Decision

Aiming to the knowledge representation and management existing issues of drilling accident emergency decision in current oil industry, using ontology technology, this paper designs a knowledge base system based on ontology for drilling accident emergency decision, establishes an ontology knowledge representation model, and constructs the emergency ontology knowledge base and case base. Consequently, it makes the emergency domain knowledge standardization and semantization, so convenient for knowledge sharing and reuse. And on that basis, the rules which drilling accident emergency decision needs are established by using the SWRL rule language, implementing the ontology-based rule knowledge reasoning through the Jena reasoning machine. This can provide auxiliary schemes for rescuing emergency accidents. This system researched provides good methods and technology for the knowledge effective management and applying of drilling accident emergency decision.