Efficient Keyword Search over Virtual XML Views
Summary: Efficient keyword search over unmaterialized XML views by exploiting base-data indexes, avoiding irrelevant view materialization. Index-only evaluation nonetheless reproduces materialized-view relevance scores, with scalable performance in Quark on INEX. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Feng Shao (Cornell University)
- 2. Lin Guo (Cornell University)
- 3. Chavdar Botev (Cornell University)
- 4. Anand Bhaskar (Cornell University)
- 5. Muthiah Chettiar (Cornell University)
- 6. Fan Yang (Cornell University)
- 7. Jayavel Shanmugasundaram (Yahoo)
BibTeX Citation
@article{shao_vldb07,
title = {{Efficient Keyword Search over Virtual XML Views}},
author = {Shao, Feng and Guo, Lin and Botev, Chavdar and Bhaskar, Anand and Chettiar, Muthiah and Yang, Fan and Shanmugasundaram, Jayavel},
journal = {PVLDB},
series = {{VLDB} '07},
pages = {1057--1068},
year = {2007}
}
Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,239 | Keyword Search on Structured and Semi-Structured Data | 2009 | SIGMOD | 7.6078324e-05 |
| 12,428 | Pay-As-You-Go - An Adaptive Approach to Provide Full Context-Aware Text Search over Document Content | 2010 | SIGMOD | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 17 of 17 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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