一种面向语义正确性的关系数据库访问方法

摘要

从异构关系数据源中获取语义正确的信息是当前利用数据资产辅助决策所面临的一大难题.为解决这一问题,提出了一种研究面向语义正确性的关系数据库访问方法(SCORDA).SCORDA方法采用DL -LiteNOWL本体作为支持数据访问任务的概念视图,在本体的表达能力和推理复杂度之间做了一定折中；SCORDA方法通过LAV+ GAV的映射方式建立本体与关系数据源之间的语义关联,兼顾了模式异构和阻抗失配问题；此外,SCORDA方法采用了一种动态ABox结构,即时从异构关系数据源中恢复虚拟对象,并且利用动态ABox进行实例检测推理任务,通过本体的模型语义来保证数据访问的正确性.通过原型系统验证了该方法的可行性.%Nowadays, organization faces (he problem of acquiring correct information from data asset to support decision-making. To solve this problem, a semantic correctness oriented relational data access method, namely SCORDA, is proposed. Firstly, ontology was used to describe the concept view, which is used in data access task, and description logic makes a suitable tradeoff between expressiveness and complexity. Secondly, a LAV + GAV mapping formalism was adopted to solve the schema heterogeneity and impedance mismatch problem. Furthermore, a special structure named dynamic ABox is provided to deal with the instance checking problem, and to ensure the semantic correctness of answers based on the model theory semantic of ontology. Finally, the feasibility of SCORDA method, through implementing a prototype system, was validated.