Research On Distributed Reasoning And Query Method Based On Domain Ontology

The civil aviation emergency management domain ontology is a description of the concepts,concepts and examples in emergencies,it is the expression and sharing of knowledge in the field of emergency management of civil aviation and the reasoning of emergency rescue plan.With the rapid development of information acquisition and communication technology,the rapid development of network multimedia resources,civil aviation emergencies and emergency management information also showed large-scale growth,and SWRL rules-based domain ontology reasoning was difficult to adapt to distributed reasoning in large data environment With the application requirements of the query.To this end,this paper will MapReduce distributed computing and civil aviation emergency management field ontology reasoning and query combination,the following research:(1)Based on the analysis of the RDF data reasoning and application status in the emergency management of civil aviation emergency management field,this paper proposes a method of domain ontology distributed reasoning based on RDFS.Firstly,the ontology data is preprocessed to complete the stored procedure,The reasoning rule is optimized,and finally the RDFS reasoning rule feature and MapReduce distributed computing feature are combined to realize the reasoning of domain ontology.On the basis of this,compared with the advanced WebPIE reasoning method,the validity of the reasoning method is further verified,which solves the problem of low efficiency of ontology reasoning in emergency management of civil aviation emergency.(2)Based on the research of domain ontology distributed reasoning,this paper further studies the distributed query method of domain ontology,gives the process framework of distributed query method,and expatiates on the design and implementation of the key algorithm The results show that the proposed method can be used to perform the SPARQL query task.Finally,the domain ontology query test case is used to test the method,which further validates the method.The query efficiency is more obvious in the case of more complicated query,and it also provides the method support for the application of large data in the emergency management domain of civil aviation emergency.