基于本体的关系数据集成的查询处理

为实现异构关系数据库的语义集成，针对传统集成技术存在的问题，在对语义网等相关技术进行分析的基础上，研究基于本体的关系数据集成系统中的查询处理问题，提出了一种基于本体的关系数据库集成框架。设计了基于本体的关系数据的描述方法，使用本体作为集成的全局模式来描述关系模式的语义。设计了查询重写算法，该算法可以将基于全局模式的SPARQL查询重写为针对具体关系数据库的查询，从而实现对异构关系数据库的集成。实验表明，该算法具有良好的可扩展性。

Query Processing for Ontology-based Relational Data Integration

In order to resolve the problem of semantic integration of heterogeneous relational databases, based on semantic Web technology, this paper focused on the query processing problem in ontology-based relational data integralion. An ontology-based integration infrastructure for heterogeneous relational databases was presented. To model different databases' schemas, we proposed an ontology-based data describing method. Ontology was used as the global schema to describe the semantic of relational schemas. A ctuery rewriting algorithm was provided, which can rewrite SPARQL query over global schema into local queries that can be executed on heterogeneous relational databases. The experiment showed that the approach we proposed has nice scalability.