Conversational BI: An Ontology-Driven Conversation System for Business Intelligence Applications
Summary: Ontology-driven framework to generate BI conversation artifacts: intents, entities, training data from a business model ontology; dialogs adapt to common BI patterns. Implemented in Health Insights, it enables intuitive exploration beyond dashboards and ad-hoc queries. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Abdul Quamar (IBM)
- 2. Fatma Özcan (IBM)
- 3. Dorian Miller (IBM)
- 4. Robert J Moore (IBM)
- 5. Rebecca Niehus (IBM)
- 6. Jeffrey Kreulen (IBM)
BibTeX Citation
@article{quamar_vldb20,
title = {{Conversational BI: An Ontology-Driven Conversation System for Business Intelligence Applications}},
author = {Quamar, Abdul and Özcan, Fatma and Miller, Dorian and Moore, Robert J and Niehus, Rebecca and Kreulen, Jeffrey},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {12},
pages = {3369--3381},
doi = {10.14778/3415478.3415557},
url = {https://doi.org/10.14778/3415478.3415557},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,267 | Automated Validating and Fixing of Text-to-SQL Translation with Execution Consistency | 2025 | SIGMOD | 5.9348282e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,785 | An Ontology-Based Conversation System for Knowledge Bases | 2020 | SIGMOD | 5.093636e-05 |
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