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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
9297
Venue
VLDB
Year
2005
Pagerank
5.3135144e-05
Overall Rank
5,820 | 59.52%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
3,677 Efficient External-Memory Bisimulation on DAGs 2012 SIGMOD 6.8533416e-05
9,310 FIX: Feature-based Indexing Technique for XML Documents 2006 VLDB 4.3570863e-05
12,305 Cost Based Plan Selection for XPath 2009 SIGMOD 4.1945683e-05
12,441 XPath on Steroids: Exploiting Relational Engines for XPath Performance 2007 SIGMOD 4.1945683e-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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