XPath Whole Query Optimization
Summary: Presents tree automata as a general framework for whole-query XPath optimization, identifying “relevant nodes” that a minimal automaton must inspect to skip subtrees and internal nodes. On-the-fly determinization and implementation techniques yield efficient evaluation, validated experimentally even without specialized indexes. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Sebastian Maneth (National Information and Communications Technology Australia; University of New South Wales)
- 2. Kim Nguyen (National Information and Communications Technology Australia)
BibTeX Citation
@article{maneth_vldb10,
title = {{XPath Whole Query Optimization}},
author = {Maneth, Sebastian and Nguyen, Kim},
journal = {PVLDB},
series = {{VLDB} '10},
volume = {3},
number = {1},
pages = {882--893},
doi = {10.14778/1920841.1920954},
url = {https://doi.org/10.14778/1920841.1920954},
year = {2010}
}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 79 | XMark: A Benchmark for XML Data Management | 2002 | VLDB | 0.00036555628 |
| 666 | Efficient Algorithms for Processing XPath Queries | 2002 | VLDB | 0.00015166582 |
| 2,625 | Efficient Processing of Expressive Node-Selecting Queries on XML Data in Secondary Storage: A Tree Automata-based Approach | 2003 | VLDB | 8.3300135e-05 |
| 3,727 | Staircase Join: Teach a Relational DBMS to Watch its (Axis) Steps | 2003 | VLDB | 7.1689738e-05 |
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