Storing Semistructured Data Into Relational Database Using Reference Relationship Scheme
Year: 2008
Type: conference-paper
Abstract: The most dominant data format for data processing on the Internet is the semistructured data form termed XML. XML data has no fixed schema; it evolved, and is self describing which results in management difficulties compared to, for example, relational data. This paper presents a reference relationship scheme that encompasses parent and child reference relations to store XML data in a relational view, and that provides improved of storage performance. We present an analytical analysis that compares the scheme with other standard methods of conversion from XML to relational forms. A relational to XML data conversion algorithm that translates the relational data into original XML data form is also presented.
Institution: University of Newcastle Australia
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W1521781448