Securing XML Query Processing Storage

Securing XML Query Processing Storage

The effective processing of semi-structured data queries is a preliminary part of data mining stage. XML queries employ regular path expressions to find structural patterns within XML documents. The operation of structural join is a crucial part of XML query processing. Existing approaches reduce complex join expressions to several binary structural joins. In this paper, we are proposing a new ...

XML Query Processing: Storage and Query Model Interplay

Binary XML Storage and Query Processing in Oracle 11g

Oracle RDBMS has supported XML data management for more than six years since version 9i. Prior to 11g, textcentric XML documents can be stored as-is in a CLOB column and schema-based data-centric documents can be shredded and stored in object-relational (OR) tables mapped from their XML Schema. However, both storage formats have intrinsic limitations—XML/CLOB has unacceptable query and update p...

XML Query Processing: A Survey

XML (Extensible Markup Language) is emerging as a de facto standard for information exchange among various applications on the web because of its inherent data self-describing capability and flexibility of organizing data. With increased impact of XML on information exchange, it is particularly important to develop high-performance techniques to query large XML data repositories efficiently. Th...

XML Query Processing and Optimization

In this paper, I summarize my research on optimizing XML queries. This work has two components: the first component is the definition of a logical algebra and logical optimization techniques. This algebra can be translated into different physical algebras such as native or extended-relational algebras. The second component is the design of physical storage structures and physical optimization t...