基于路径的网络本体语言存储模型

摘要

为提高信息检索效率,提出基于路径的网络本体语言(OWL)存储模型,首先设计了转换和存储OWL数据的方法,实现构建包含有类和属性层次结构关系的数据图,然后通过深度优先搜索(DFS)算法建立从根节点的类和属性信息到每个节点的类和属性信息的路径,再将这些信息存储到设计的关系数据库表中.通过实验与现有方法进行了比较,在查询处理时间和本体更新时间性能方面都有改进,方案具有可行性.%To improve the efficiency of information retrieval, a Path-based OWL Storage (POS) model was proposed.In addition, the structure of the POS system for the translation and storage of OWL data was illustrated.A data schema of inputted OWL and a data graph with hierarchical structural information between classes or properties were analyzed by POS system.Also, paths from the root class or property to all classes or properties were extracted via a Depth-First-Search (DFS) method.The extracted hierarchical structural information was stored in a path attribute in the relational database tables.Compared with the traditional method, the processing time for ontology query and update in the experiment has a feasible improvement.