DISCOVER: Keyword Search in Relational Databases
Summary: Schema-agnostic keyword search over relational databases, returning tuple-joining networks covering all query terms. DISCOVER enumerates nonredundant, schema-bounded candidate networks and reuses common subexpressions; optimal planning is NP-complete, motivating a near-optimal greedy algorithm. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Vagelis Hristidis (University of California San Diego)
- 2. Yannis Papakonstantinou (University of California San Diego)
BibTeX Citation
@article{hristidis_vldb02,
title = {{DISCOVER: Keyword Search in Relational Databases}},
author = {Hristidis, Vagelis and Papakonstantinou, Yannis},
journal = {PVLDB},
series = {{VLDB} '02},
doi = {10.1016/B978-155860869-6/50065-2},
url = {https://doi.org/10.1016/B978-155860869-6/50065-2},
year = {2002}
}
Incoming Citations (Sorted by Pagerank)
Showing 50 of 99 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 4 of 4 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 128 | Efficient and Extensible Algorithms for Multi Query Optimization | 2000 | SIGMOD | 0.0003072825 |
| 153 | Common Expression Analysis in Database Applications | 1982 | SIGMOD | 0.00029032276 |
| 301 | Proximity Search in Databases | 1998 | VLDB | 0.00022032878 |
| 2,143 | An Approximate Search Engine for Structural Databases | 2000 | SIGMOD | 9.0950687e-05 |
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