XPath on Steroids: Exploiting Relational Engines for XPath Performance
Summary: XPath on Steroids exploits relational engines to accelerate XPath queries. Finds optimal joins, indices, and storage layouts, guarantees pipelined SQL, and uses a hybrid schema-aware/oblivious XML mapping; experiments show competitive performance vs native and relational XPath systems. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Haris Georgiadis (Athens University of Economics and Business)
- 2. Vasilis Vassalos (Athens University of Economics and Business)
BibTeX Citation
@inproceedings{georgiadis_sigmod07,
title = {{XPath on Steroids: Exploiting Relational Engines for XPath Performance}},
author = {Georgiadis, Haris and Vassalos, Vasilis},
series = {{SIGMOD} '07},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1247480.1247517},
url = {https://dl.acm.org/doi/10.1145/1247480.1247517},
year = {2007}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 12,499 | Cost Based Plan Selection for XPath | 2009 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 16 of 16 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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