A Holistic Approach for Query Evaluation and Result Vocalization in Voice-Based OLAP
Summary: Holistic OLAP query processing with vocalized results. Monte-Carlo Tree Search-guided sampling focuses evaluation on speech-relevant aspects; pipelines interleave processing and streaming vocalization; a maximum-entropy model selects informative fragments under time constraints. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Immanuel Trummer (Cornell University)
- 2. Yicheng Wang (Cornell University)
- 3. Saketh Mahankali (Cornell University)
BibTeX Citation
@inproceedings{trummer_sigmod19,
title = {{A Holistic Approach for Query Evaluation and Result Vocalization in Voice-Based OLAP}},
author = {Trummer, Immanuel and Wang, Yicheng and Mahankali, Saketh},
series = {{SIGMOD} '19},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3299869.3300089},
url = {https://dl.acm.org/doi/10.1145/3299869.3300089},
year = {2019}
}Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,964 | Data Vocalization with CiceroDB | 2019 | CIDR | 5.7303405e-05 |
| 7,511 | Demonstrating the Voice-Based Exploration of Large Data Sets with CiceroDB-Zero | 2020 | VLDB | 5.6029996e-05 |
| 11,582 | BABOONS: Black-Box Optimization of Data Summaries in Natural Language | 2022 | 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 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 965 | User-adaptive exploration of multidimensional data | 2000 | VLDB | 0.00012933878 |
| 1,472 | M4: A Visualization-Oriented Time Series Data Aggregation | 2014 | VLDB | 0.00010668946 |
| 1,634 | Rapid Sampling for Visualizations with Ordering Guarantees | 2015 | VLDB | 0.00010163938 |
| 1,828 | Making the Case for Query-by-Voice with EchoQuery | 2016 | SIGMOD | 9.6689075e-05 |
| 2,206 | DAQ: A New Paradigm for Approximate Query Processing | 2015 | VLDB | 8.957715e-05 |
| 5,440 | SpeakQL: Towards Speech-driven Multimodal Querying | 2019 | SIGMOD | 6.2185146e-05 |
| 5,651 | Sampling Cube: A Framework for Statistical OLAP Over Sampling Data | 2008 | SIGMOD | 6.1336568e-05 |
| 11,932 | Vocalizing Large Time Series Efficiently | 2018 | VLDB | 5.093636e-05 |
| 12,004 | Data Vocalization: Optimizing Voice Output of Relational Data | 2017 | VLDB | 5.093636e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 1,828 | Making the Case for Query-by-Voice with EchoQuery | 2016 | SIGMOD |
| 2 | 4,593 | Demonstration of SpeakQL: Speech-driven Multimodal Querying of Structured Data | 2019 | SIGMOD |
| 3 | 6,964 | Data Vocalization with CiceroDB | 2019 | CIDR |
| 4 | 5,440 | SpeakQL: Towards Speech-driven Multimodal Querying | 2019 | SIGMOD |
| 5 | 11,704 | Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries | 2021 | VLDB |
| 6 | 11,658 | Demonstrating Robust Voice Querying with MUVE: Optimally Visualizing Results of Phonetically Similar Queries | 2021 | SIGMOD |
| 7 | 5,738 | SpeakQL: Towards Speech-driven Multimodal Querying of Structured Data | 2020 | SIGMOD |
| 8 | 12,004 | Data Vocalization: Optimizing Voice Output of Relational Data | 2017 | VLDB |
| 9 | 11,543 | VoiceQuerySystem: A Voice-driven Database Querying System Using Natural Language Questions | 2022 | SIGMOD |
| 10 | 11,932 | Vocalizing Large Time Series Efficiently | 2018 | VLDB |