基于Neo4j的领域本体存储方法研究.PDFVIP

优先出版 计 算 机 应 用 研 究 第33 卷 基于Neo4j 的领域本体存储方法研究* * 王 红，张青青 ，蔡伟伟，姜 洋 ( 中国民航大学 计算机科学与技术学院，天津 300300) 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。 关键词：民航突发事件；领域本体；RDF 图数据；Neo4j ；映射 中图分类号：TP391 Research on storage method for domain ontology based on Neo4j * Wang Hong, Zhang Qingqing , Cai Weiwei, Jiang Yang (School of Computer Science Technoloogy, Civil Aviation University of China, Tianjin 300300) Abstract: 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 uses 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,provided support of method of the semantic retrieval and reasoning of RDF graph data in big data platform. Key Words: civil aviation emergency case;domain ontology;RDF gragh data;Neo4j ;mapping