AQAX: A System for Approximate XML Query Answers
Summary: AQAX enables fast, approximate XML query answering for interactive exploration of large semi-structured databases using concise, accurate XML summaries. Its distinctive feature is tight integration between query processing and graphical visualization clients. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Joshua Spiegel (University of California Santa Cruz)
- 2. Emmanuel Pontikakis (Stanford University; University of California Santa Cruz)
- 3. Suratna Budalakoti (University of California Santa Cruz)
- 4. Neoklis Polyzotis (University of California Santa Cruz)
BibTeX Citation
@article{spiegel_vldb06,
title = {{AQAX: A System for Approximate XML Query Answers}},
author = {Spiegel, Joshua and Pontikakis, Emmanuel and Budalakoti, Suratna and Polyzotis, Neoklis},
journal = {PVLDB},
series = {{VLDB} '06},
pages = {1159--1162},
year = {2006}
}Incoming Citations (Sorted by Pagerank)
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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 |
|---|---|---|---|---|
| 327 | The Aqua Approximate Query Answering System | 1999 | SIGMOD | 0.00021091539 |
| 363 | Approximate Query Processing: Taming the TeraBytes! A Tutorial | 2001 | VLDB | 0.0002005475 |
| 3,180 | Approximate XML Query Answers | 2004 | SIGMOD | 7.6599179e-05 |
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