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An Algebraic Query Model for Effective and Efficient Retrieval of XML Fragments

Summary: Proposes an algebraic query model with novel semantics for retrieving meaningful XML fragments from non-schematic documents. Introduces size-restricting filters and a class with properties that dramatically reduces query processing cost, enabling practical, efficient XML fragment retrieval. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
9445
Venue
VLDB
Year
2006
Pagerank
4.1905499e-05
Overall Rank
12,527 | 12.94%
DOI
-

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Showing 6 of 6 cited papers.

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

Rank Cited Paper Year Venue Pagerank
73 XRANK: Ranked Keyword Search over XML Documents 2003 SIGMOD 0.0005840064
436 XSEarch: A Semantic Search Engine for XML 2003 VLDB 0.00023264416
547 Schema-Free XQuery 2004 VLDB 0.00020372992
989 Efficient Keyword Search for Smallest LCAs in XML Databases 2005 SIGMOD 0.00014805498
3,046 An Efficient and Versatile Query Engine for TopX Search 2005 VLDB 7.6586679e-05
3,671 Querying Structured Text in an XML Database 2003 SIGMOD 6.853634e-05
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