XML Full-Text Search: Challenges and Opportunities

Summary: Tutorial survey of XML full-text search spanning database and information-retrieval perspectives: query languages, ranking, architectures, and evaluation. Highlights the distinctive challenge of jointly optimizing structural XML predicates with content-based search. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID: 9487
Venue: VLDB
Year: 2005
Pagerank: 5.4428499e-05
Overall Rank: 8,364 | 42.62%
DOI: -

Incoming Non-self Citations Over Time

Authors

1. Sihem Amer-Yahia (AT&T)
2. Jayavel Shanmugasundaram (Cornell University)

BibTeX Citation

@article{ameryahia_vldb05,
        title = {{XML Full-Text Search: Challenges and Opportunities}},
        author = {Amer-Yahia, Sihem and Shanmugasundaram, Jayavel},
        journal = {PVLDB},
        series = {{VLDB} '05},
        pages = {1368},
        year = {2005}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
2,877	DB&IR: Both Sides Now (Extended Abstract)	2007	SIGMOD	8.0070039e-05
3,239	Keyword Search on Structured and Semi-Structured Data	2009	SIGMOD	7.6078324e-05

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
77	XRANK: Ranked Keyword Search over XML Documents	2003	SIGMOD	0.00037048607
163	On Supporting Containment Queries in Relational Database Management Systems	2001	SIGMOD	0.00027839792
399	XSEarch: A Semantic Search Engine for XML	2003	VLDB	0.00019177959

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