Research On Semantic Query And Reasoning Methods For Aviation Security Events

Aviation safety is the top priority of the development of the civil aviation industry.At present,the ontology of emergency response management in civil aviation is mainly based on RDF data storage and query.Because of the diversity of words and word ambiguity in the description of the same object,it is easy to produce low matching and no matching.This paper proposes a semantic query and reasoning method based on RDF rewriting.The main work is as follows:Research on rewriting methods based on semantic similarity and RDFS rules.Firstly,the semantic similarity calculation method based on word vector is used to map the user query RDF triples to the domain ontology RDF triples,and then the reasoning rewrite according to the RDFS rules,to realize the relationship extension rewriting of the domain ontology RDF triples.The user queries the RDF triples to convert the query into a domain ontology based query by rewriting the method.The study is based on rewritten aviation security event semantic query and reasoning.Through the semantic similarity rewriting of word vector,the mapping of subject s,predicate p,object o and concept and relationship in domain ontology in user query RDF triple is realized.On this basis,through the rewriting of RDFS rules,the rewriting of domain ontology concepts,relationships,and relationship constraints is realized.Finally,the local map matching method is used to map each partition file of each node to complete the distributed query of aviation security events.The experimental results show that the semantic query and reasoning method based on RDF rewrite has achieved obvious results in the recall rate and precision rate,which can improve the problem of low matching and no matching in the query process.It is provided method support in order to solve the query problem of aviation security event.