QUEST: A Keyword Search System for Relational Data based on Semantic and Machine Learning Techniques
Summary: QUEST combines semantic and ML to translate keyword queries into SQL over relational data. Forward mappings to terms and a backward path-join are fused by Dempster-Shafer theory, delivering robust results with little training data and hidden data sources (Deep Web). (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sonia Bergamaschi (University of Modena and Reggio Emilia)
- 2. Francesco Guerra (University of Modena and Reggio Emilia)
- 3. Matteo Interlandi (University of Modena and Reggio Emilia)
- 4. Raquel Trillo-Lado (University of Zaragoza)
- 5. Yannis Velegrakis (University of Trento)
BibTeX Citation
@article{bergamaschi_vldb13,
title = {{QUEST: A Keyword Search System for Relational Data based on Semantic and Machine Learning Techniques}},
author = {Bergamaschi, Sonia and Guerra, Francesco and Interlandi, Matteo and Trillo-Lado, Raquel and Velegrakis, Yannis},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {12},
pages = {1222--1225},
doi = {10.14778/2536274.2536281},
url = {https://doi.org/10.14778/2536274.2536281},
year = {2013}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 179 | Constructing an Interactive Natural Language Interface for Relational Databases | 2015 | VLDB | 0.00026838277 |
| 459 | ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores | 2016 | VLDB | 0.00018101318 |
| 555 | NaLIR: An Interactive Natural Language Interface for Querying Relational Databases | 2014 | SIGMOD | 0.00016568053 |
| 1,444 | CatSQL: Towards Real World Natural Language to SQL Applications | 2023 | VLDB | 0.00010769944 |
| 2,079 | DBPal: A Fully Pluggable NL2SQL Training Pipeline | 2020 | SIGMOD | 9.2060425e-05 |
| 13,637 | The Trento Big Data Platform for Public Administration and Large Companies: Use cases and Opportunities | 2013 | VLDB | - |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,572 | Summary Graphs for Relational Database Schemas | 2011 | VLDB | 7.2980153e-05 |
| 3,651 | Keyword Search over Relational Databases: A Metadata Approach | 2011 | SIGMOD | 7.2249652e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 12,451 | QUICK: Expressive and Flexible Search over Knowledge Bases and Text Collections | 2010 | VLDB |
| 2 | 8,936 | Toward Scalable Keyword Search over Relational Data | 2010 | VLDB |
| 3 | 3,677 | Example-Driven Query Intent Discovery: Abductive Reasoning using Semantic Similarity | 2019 | VLDB |
| 4 | 4,910 | Actively Soliciting Feedback for Query Answers in Keyword Search-Based Data Integration | 2013 | VLDB |
| 5 | 212 | Efficient IR-Style Keyword Search over Relational Databases | 2003 | VLDB |
| 6 | 13,426 | Demonstrating Quest: A Query-Driven Framework to Explain Classification Models on Tabular Data | 2022 | VLDB |
| 7 | 2,832 | Expressive and Flexible Access to Web-Extracted Data: A Keyword-based Structured Query Language | 2010 | SIGMOD |
| 8 | 3,239 | Keyword Search on Structured and Semi-Structured Data | 2009 | SIGMOD |
| 9 | 3,651 | Keyword Search over Relational Databases: A Metadata Approach | 2011 | SIGMOD |
| 10 | 6,371 | QUEST: Query Optimization in Unstructured Document Analysis | 2025 | VLDB |