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A System for Keyword Proximity Search on XML Databases

Summary: System for keyword proximity search on XML data modeled as labeled trees/graphs, leveraging XML schema to boost query performance and result presentation. Returns minimum connecting trees containing all keywords, ranked by size; supports bidirectional edge traversal and schema-driven grouping for user-meaningful results. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9056
Venue
VLDB
Year
2003
Pagerank
4.6966255e-05
Overall Rank
7,609 | 47.07%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
2,599 Integrating DB and IR Technologies: What is the Sound of One Hand Clapping? * 2005 CIDR 8.4702307e-05
5,712 Flexible and Efficient XML Search with Complex Full-Text Predicates 2006 SIGMOD 5.3584486e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

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

Rank Cited Paper Year Venue Pagerank
54 DISCOVER: Keyword Search in Relational Databases 2002 VLDB 0.00066047203
186 Proximity Search in Databases 1998 VLDB 0.00036215179
1,870 Flexible Queries over Semistructured Data 2001 PODS 0.00010263799
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