Abstract: This paper describes a schema-based data management framework which uses a layered architecture and a Global-As-View(GAV) approach to semantically integrate distributed heterogeneous XML and RDF data sources. Composition of the layered architecture, mapping process and query processing are discussed. The experimental results show that the framework is feasible.

Key words: semantic integration, semantic Web, schema matching

摘要： 提出一种基于Schema的数据管理框架。该框架利用分层式的体系结构和全局视图(GAV)的集成方法，对分布式的异构数据源XML和RDF进行语集成。讨论了分层式体系结构的组成、映射过程和查询处理。实验结果表明了该框架的可行性。

关键词: 语义集成, 语义网, 模式匹配

CLC Number: 

• TP391