Natural Language Querying of Complex Business Intelligence Queries
Summary: Natural Language Querying extends NLIDB to complex BI queries with nested SQL. Zero-training, no human-in-the-loop; novel algorithms blend linguistic analysis with deep domain reasoning; new ontology-driven BI benchmark (FIBO/FRO) and interactive SQL+English explanations. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Jaydeep Sen (IBM)
- 2. Fatma Ozcan (IBM)
- 3. Abdul Quamar (IBM)
- 4. Greg Stager (IBM)
- 5. Ashish Mittal (IBM)
- 6. Manasa Jammi (IBM)
- 7. Chuan Lei (IBM)
- 8. Diptikalyan Saha (IBM)
- 9. Karthik Sankaranarayanan (IBM)
BibTeX Citation
@inproceedings{sen_sigmod19,
title = {{Natural Language Querying of Complex Business Intelligence Queries}},
author = {Sen, Jaydeep and Ozcan, Fatma and Quamar, Abdul and Stager, Greg and Mittal, Ashish and Jammi, Manasa and Lei, Chuan and Saha, Diptikalyan and Sankaranarayanan, Karthik},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3320248},
url = {https://dl.acm.org/doi/10.1145/3299869.3320248},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,078 | State of the Art and Open Challenges in Natural Language Interfaces to Data | 2020 | SIGMOD | 6.3728705e-05 |
| 8,328 | Deep Learning: Systems and Responsibility | 2021 | SIGMOD | 5.4535681e-05 |
| 10,510 | NL2SQLBench: A Modular Benchmarking Framework for LLM-Enabled NL2SQL Solutions | 2026 | VLDB | 5.093636e-05 |
| 11,658 | Demonstrating Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries | 2021 | SIGMOD | 5.093636e-05 |
| 11,704 | Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries | 2021 | VLDB | 5.093636e-05 |
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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 |
|---|---|---|---|---|
| 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 |
| 4,269 | An XML Transaction Processing Benchmark | 2007 | SIGMOD | 6.7922473e-05 |
| 8,681 | Creation and Interaction with Large-scale Domain-Specific Knowledge Bases | 2017 | VLDB | 5.3857561e-05 |
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| 1 | 179 | Constructing an Interactive Natural Language Interface for Relational Databases | 2015 | VLDB |
| 2 | 555 | NaLIR: An Interactive Natural Language Interface for Querying Relational Databases | 2014 | SIGMOD |
| 3 | 9,870 | Natural Language to SQL: State of the Art and Open Problems | 2025 | VLDB |
| 4 | 3,339 | A Deep Dive into Deep Learning Approaches for Text-to-SQL Systems | 2021 | SIGMOD |
| 5 | 2,175 | From Natural Language Processing to Neural Databases | 2021 | VLDB |
| 6 | 11,943 | Tooling Framework for Instantiating Natural Language Querying System | 2018 | VLDB |
| 7 | 6,870 | Natural Language Interfaces for Databases with Deep Learning | 2023 | VLDB |
| 8 | 11,919 | An Ontology based Dialog Interface to Database | 2018 | SIGMOD |
| 9 | 11,748 | Toward Pure Natural Language Interaction with Databases | 2020 | CIDR |
| 10 | 5,078 | State of the Art and Open Challenges in Natural Language Interfaces to Data | 2020 | SIGMOD |