基于图数据库的本体查询与推理
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摘要
本体的查询与推理能够对工业大数据进行有效治理,但随着工业数据的海量增长,传统方法在处理效率与扩展能力方面出现不足,针对该问题提出基于图数据库的本体查询与推理方法。制定本体组成要素与图数据库存储要素的映射规则,由OWL API解析本体文件,借助图数据库的图模型描述能力生成本体等价结构,并基于图数据库特性实现本体的查询与推理功能。该方法为本体查询与推理在工业大数据领域的应用提供新的参考和指导。
Ontology query and reasoning can control industrial big data. However,with the massive growth of industrial data,traditional methods are insufficient in terms of processing efficiency and scalability. This paper presents an ontology query and reasoning method based on graph database. Formulate mapping rules of the ontology and the graph database. Use the OWL API to parse the ontology file,create the equivalence structure and implement the query and reasoning based on graph database features. This method provides new reference and guidance for the application of ontology in the field of industrial big data.
Ontology query and reasoning can control industrial big data. However,with the massive growth of industrial data,traditional methods are insufficient in terms of processing efficiency and scalability. This paper presents an ontology query and reasoning method based on graph database. Formulate mapping rules of the ontology and the graph database. Use the OWL API to parse the ontology file,create the equivalence structure and implement the query and reasoning based on graph database features. This method provides new reference and guidance for the application of ontology in the field of industrial big data.
引文
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