Efficient Query Processing for RDF data Using XML Repository

Abstract

The Semantic Web is an extension of the current Web that will allow to find, share, and combine information more easily. To harvest such power requires robust and scalable data repositories that can store RDF data. Most of the existing RDF storage techniques rely on relation model and relational database technologies for these tasks. The mis-match between the graph model of the RDF data and the rigid 2D tables of relational model jeopardizes the scalability of such repositories and frequently renders a repository inefficient for some types of data and queries. In this paper, we propose a system that can store RDF data in the XML repository and perform the efficient XML query processing. We discuss the basic idea of serializing RDF data into RDF/XML and mapping of RDF/XML to XML document and then algorithm for the efficient XML query processing to the performance of XML query evaluation.