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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)

Paper ID
9402
Venue
VLDB
Year
2004
Pagerank
5.3778229e-05
Overall Rank
8,713 | 40.23%
DOI
10.1016/B978-012088469-8.50016-4

Incoming Non-self Citations Over Time

Authors

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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