An Ontology based Dialog Interface to Database
Summary: Ontology-driven dialog interface extends NLIDB for RDBMS, exploiting semantic context across multi-turn queries. Ontology-based techniques address co-reference, ellipsis, and query disambiguation to infer user intent, demonstrated in finance and healthcare. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Ashish Mittal (IBM)
- 2. Jaydeep Sen (IBM)
- 3. Diptikalyan Saha (IBM)
- 4. Karthik Sankaranarayanan (IBM)
BibTeX Citation
@inproceedings{mittal_sigmod18,
title = {{An Ontology based Dialog Interface to Database}},
author = {Mittal, Ashish and Sen, Jaydeep and Saha, Diptikalyan and Sankaranarayanan, Karthik},
series = {{SIGMOD} '18},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3183713.3193551},
url = {https://dl.acm.org/doi/10.1145/3183713.3193551},
year = {2018}
}
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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 |
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