NEURON: Query Execution Plan Meets Natural Language Processing For Augmenting DB Education
Summary: NEURON turns a DBMS query execution plan into plain-language, text-and-voice explanations for education (world's first). It also enables NLQA over QEPs, delivering interactive, expert-level insight into optimization strategies such as joins, nesting, and aggregation. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Siyuan Liu (Nanyang Technological University)
- 2. Sourav S Bhowmick (Nanyang Technological University)
- 3. Wanlu Zhang (Nanyang Technological University)
- 4. Shu Wang (Nanyang Technological University)
- 5. Wanyi Huang (Nanyang Technological University)
- 6. Shafiq Joty (Nanyang Technological University)
BibTeX Citation
@inproceedings{liu_sigmod19,
title = {{NEURON: Query Execution Plan Meets Natural Language Processing For Augmenting DB Education}},
author = {Liu, Siyuan and Bhowmick, Sourav S and Zhang, Wanlu and Wang, Shu and Huang, Wanyi and Joty, Shafiq},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3320213},
url = {https://dl.acm.org/doi/10.1145/3299869.3320213},
year = {2019}
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited 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 |
| 1,808 | λόγος: A System for Translating Queries into Narratives | 2012 | SIGMOD | 9.7050949e-05 |
| 2,778 | DBPal: A Learned NL-Interface for Databases | 2018 | SIGMOD | 8.1305875e-05 |
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