INODE

XML has become the standard for representing and exchanging information on Internet. This poses a challenge to efficiently store and query XML data. Several model-mapping approaches have been proposed to store XML data in relational database systems. The key features of model-mapping approach are that fixed database schemas are used for all XML documents and DTD information is not needed. In this paper, we present a new model-mapping approach, called INode. This approach is based on a numbering scheme for elements. It enables quick retrieval of parent-child and ancestor-descendant relationships between elements in the XML data graph. Experiments with two data sets and two query sets show that INode can reduce the storage requirement while having a better query performance.