摘要
在分析民航突发事件应急管理领域本体及其存储特点的基础上,提出了一种基于Neo4j的领域本体RDF图数据存储方法,研究了领域本体RDF有向标记图结构与Neo4j图数据库存储模型的关系,结合民航突发事件应急管理领域本体的实例查询,给出了RDF图与Neo4j之间的映射关系及其实现过程。实验验证了Neo4j图数据库在满足领域本体RDF图数据查询的同时进一步提高了查询的效率,为大数据平台下的RDF图数据语义检索与推理提供了方法支撑。
Through the analysis of civil aviation emergency management domain ontology and its storage characteristics, this paper proposed a RDF graph data storage method for domain ontology based on Neo4j, and studied the relationship between domain ontology which used the representation of RDF the labled directed graph structure and Neo4j graph database storage model. Combining the instances query for the domain ontology about civil aviation emergency management, it also implemented the process that the mapping relationship between RDF graph and Neo4j. While satisfying the domain ontology RDF graph data query, experiments further improve the efficiency of the query, and provide support method of the semantic retrieval and rea- soning of RDF graph data in big data platform.
出处
《计算机应用研究》
CSCD
北大核心
2017年第8期2404-2407,共4页
Application Research of Computers
基金
国家自然科学基金委员会与中国民用航空局联合资助项目(U163310052
U1533104)
中央高校基本科研业务费基金资助项目(3122015C022)
中国民航大学科研启动基金资助项目(2014QD14X)
