Demonstrating the Voice-Based Exploration of Large Data Sets with CiceroDB-Zero
Summary: Voice-based exploration of large data sets with CiceroDB-Zero; pre-processing yields template-driven speech descriptions. Queries are served via on-site smart speakers or mobile devices; visitors customize voice descriptions and output methods. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Immanuel Trummer (Cornell University)
BibTeX Citation
@article{trummer_vldb20,
title = {{Demonstrating the Voice-Based Exploration of Large Data Sets with CiceroDB-Zero}},
author = {Trummer, Immanuel},
journal = {PVLDB},
series = {{VLDB} '20},
volume = {13},
number = {12},
pages = {2869--2872},
doi = {10.14778/3415478.3415496},
url = {https://doi.org/10.14778/3415478.3415496},
year = {2020}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,543 | VoiceQuerySystem: A Voice-driven Database Querying System Using Natural Language Questions | 2022 | 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 7 of 7 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,828 | Making the Case for Query-by-Voice with EchoQuery | 2016 | SIGMOD | 9.6689075e-05 |
| 4,593 | Demonstration of SpeakQL: Speech-driven Multimodal Querying of Structured Data | 2019 | SIGMOD | 6.6138904e-05 |
| 5,738 | SpeakQL: Towards Speech-driven Multimodal Querying of Structured Data | 2020 | SIGMOD | 6.1045268e-05 |
| 6,964 | Data Vocalization with CiceroDB | 2019 | CIDR | 5.7303405e-05 |
| 11,841 | A Holistic Approach for Query Evaluation and Result Vocalization in Voice-Based OLAP | 2019 | SIGMOD | 5.093636e-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 | 10,714 | DataDazzle: Intelligent Data Exploration through Natural Language | 2025 | SIGMOD |
| 2 | 11,932 | Vocalizing Large Time Series Efficiently | 2018 | VLDB |
| 3 | 5,738 | SpeakQL: Towards Speech-driven Multimodal Querying of Structured Data | 2020 | SIGMOD |
| 4 | 4,864 | SeeDB: Automatically Generating Query Visualizations | 2014 | VLDB |
| 5 | 6,530 | Natural Language Querying of Complex Business Intelligence Queries | 2019 | SIGMOD |
| 6 | 11,483 | EQUI-VOCAL Demonstration: Synthesizing Video Queries from User Interactions | 2023 | VLDB |
| 7 | 11,543 | VoiceQuerySystem: A Voice-driven Database Querying System Using Natural Language Questions | 2022 | SIGMOD |
| 8 | 4,593 | Demonstration of SpeakQL: Speech-driven Multimodal Querying of Structured Data | 2019 | SIGMOD |
| 9 | 1,828 | Making the Case for Query-by-Voice with EchoQuery | 2016 | SIGMOD |
| 10 | 6,964 | Data Vocalization with CiceroDB | 2019 | CIDR |