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dc.contributor.authorChen, Zhiyuanen_US
dc.contributor.authorGehrke, Johannesen_US
dc.contributor.authorKorn, Flipen_US
dc.contributor.authorKoudas, Nicken_US
dc.contributor.authorShanmugasundaram, Jayavelen_US
dc.contributor.authorSrivastava, Diveshen_US
dc.description.abstractVarious index structures have been proposed to speed up the evaluation of XML path expressions. However, existing XML path indices suffer from at least one of three limitations: they focus only on indexing the structure (relying on a separate index for node content), or they are useful only for simple path expressions such as root-to-leaf paths, or they cannot be tightly integrated with a relational query processor. Moreover, there is no unified framework to compare these index structures. In this paper, we present a framework defining a family of index structures, including most existing XML path indices. We also propose two novel index structures in this family, with different space-time tradeoffs, that are effective for the evaluation of XML branching path expressions (i.e., twigs) with value conditions. We also show how this family of index structures can be realized using the access methods of the underlying database system. Finally, we present an experimental evaluation to understand the performance tradeoff between index space and twig matching time. The experimental results show that our novel indices achieve orders of magnitude improvement in performance for evaluating twig queries, albeit at a higher space cost, over the use of previously proposed XML path indices that can be tightly integrated with a relational query processor.en_US
dc.format.extent228256 bytes
dc.publisherCornell Universityen_US
dc.subjectcomputer scienceen_US
dc.subjecttechnical reporten_US
dc.titleIndex Structures for Matching XML Twigs Using Relational Query Processorsen_US
dc.typetechnical reporten_US

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