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Efficient Processing of XML Path Queries Using the Disk-based F&B Index

Summary: Disk-based F&B index for XML path queries, optimizing disk layout to preserve clustering and scale. Novel query-processing algorithms exploit the physical index organization to accelerate twig queries on large XML datasets, outperforming state-of-the-art approaches. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9488
Venue
VLDB
Year
2005
Pagerank
6.031089e-05
Overall Rank
5,952 | 59.17%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{wang_vldb05,
        title = {{Efficient Processing of XML Path Queries Using the Disk-based F\&B Index}},
        author = {Wang, Wei and Wang, Hongzhi and Lu, Hongjun and Jiang, Haifeng and Lin, Xuemin and Li, Jianzhong},
        journal = {PVLDB},
        series = {{VLDB} '05},
        year = {2005}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
4,360 Efficient External-Memory Bisimulation on DAGs 2012 SIGMOD 6.7443622e-05
9,496 FIX: Feature-based Indexing Technique for XML Documents 2006 VLDB 5.2611263e-05
12,499 Cost Based Plan Selection for XPath 2009 SIGMOD 5.093636e-05
12,635 XPath on Steroids: Exploiting Relational Engines for XPath Performance 2007 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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