The web has been designed for direct human processing, but the next-generation Web, named “Semantic Web”, aims at machine-processible information. In recent years, only RDFS storage and query are considered because storage and query for other Semantic Web data modeling formalisms, especially OWL, are still an open research issue, and only a very small number of, furthermore incomplete, proposals for storage and query Semantic Web data modeled after other formalisms than RDF exist. Now we focus on the problem that how to deal with storage and query about Ontology with expressive means. Ontology with expressive means owns much more expressive knowledge representation and more complex knowledge reasoning. In this paper, by combining reasoning with relational database management system, an effective method is given to storage and query large-scale semantic web information. And a system-architecture is implemented in further.
