Along with the increase of ontology types and resources, the structure of ontology is more and more complicated. In order to store various structure types of ontology properly to support efficient ontology queries, this paper puts forward an ontology storage method based on relational databases, which uses a word formation classification method different from the traditional decomposition to store different types of OWL features in two-dimensional tables to solve the complex relationship between the resources and the attribute values, and ensures the integrity of the semantic information. Then, it uses the efficient retrieval and matching speed of relational database management systems, and the SQL language's high degree of deproceduring to retrieve and matching OWL ontology into a relational database, thus compensates for the defect of low efficiency of the query OWL ontology.%随着本体种类和资源的增加,本体的结构越来越复杂,为了合理地存储各种结构类型的本体、支持高效的本体查询,本文提出了一种基于关系数据库的OWL本体存储方法.该方法通过细致考虑OWL的基本元素,采用与传统的本体分解存储模式不同的构词分类方法,将OWL本体中的类、属性、实例、属性特征和属性约束分别存储在一张二维表中,从而解决了资源与属性值之间的复杂关系问题,并保证了OWL本体存储到关系数据库后语义信息的完整性.最后,利用关系数据库管理系统高效的检索和匹配速度以及SQL语言的高度非过程化,将检索和匹配OWL本体转换成检索关系数据库,弥补了OWL本体数据查询效率低的不足之处.
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