Optimized query translation strategy for XML stored in relational database

XML is an important standard of data exchange and representation. XML database also becomes important as web database. As a mature database system, using relational database to support XML data may bring some advantages. In this paper, based on a relational storage structure support XPath query effectively, an optimized query translation strategy is presented as well as optimization techniques. This method converts XQuery to variable forest. Optimization operations are applied on the variable forest. The optimization is based on the semantics of XML document such as schema of original XML document. The VF can be converted to SQL easily. This method translates XQuery to a set of SQL statements and generates final result through the result of them. Our method adapts to the XML database with relational storage supporting effective query process to XML documents with various schemas and size.