Efficient XML-to-SQL Query Translation: Where to Add the Intelligence?
Summary: XML-to-SQL translation is suboptimal: simple path expressions often yield complex SQL, and post-translation optimization is intractable. They propose a translation-time algorithm that exploits information available during translation to generate efficient SQL for path expressions on tree schemas. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Rajasekar Krishnamurthy (IBM)
- 2. Raghav Kaushik (Microsoft)
- 3. Jeffrey F Naughton (University of Wisconsin)
BibTeX Citation
@article{krishnamurthy_vldb04,
title = {{Efficient XML-to-SQL Query Translation: Where to Add the Intelligence?}},
author = {Krishnamurthy, Rajasekar and Kaushik, Raghav and Naughton, Jeffrey F},
journal = {PVLDB},
series = {{VLDB} '04},
doi = {10.1016/B978-012088469-8.50016-4},
url = {https://doi.org/10.1016/B978-012088469-8.50016-4},
year = {2004}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,172 | Query Translation from XPath to SQL in the Presence of Recursive DTDs | 2005 | VLDB | 5.6837389e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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