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FiST: Scalable XML Document Filtering by Sequencing Twig Patterns

Summary: FiST converts XPath twig patterns and XML documents into sequences via Prufer’s encoding, enabling holistic twig matching instead of per-path joins. A dynamic hash index stores sequences for scalable pub-sub filtering with lower cost under load. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9305
Venue
VLDB
Year
2005
Pagerank
6.4967402e-05
Overall Rank
4,049 | 71.87%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank Citing Paper Year Venue Pagerank
2,058 Boosting XML Filtering with a Scalable FPGA-based Architecture 2009 CIDR 9.6646475e-05
7,737 AFilter: Adaptable XML Filtering with Prefix-Caching and Suffix-Clustering 2006 VLDB 4.6592327e-05
8,431 Materialized View Selection for XQuery Workloads 2012 SIGMOD 4.5084372e-05
9,435 Efficient XML Data Dissemination with Piggybacking 2007 SIGMOD 4.3399748e-05
12,427 XML-Document-Filtering Automaton 2008 VLDB 4.1905499e-05
12,491 Early Profile Pruning on XML-aware Publish-Subscribe Systems 2007 VLDB 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

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

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