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Combining Design and Performance in a Data Visualization Management System

Summary: Introduce DeVIL, a SQL-like language that models static and interactive visualizations as relational views over database relations plus user event streams, demonstrating expressiveness across interaction taxonomies. The relational lens enables provenance-based interaction optimization, concurrency-control for interactions, a streaming framework for near-interactive latency, and automated interface synthesis, unifying design and performance in a DVMS. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
313
Venue
CIDR
Year
2017
Pagerank
5.8518572e-05
Overall Rank
6,523 | 55.25%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{wu_cidr17,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '17},
        title = {{Combining Design and Performance in a Data Visualization Management System}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Wu, Eugene and Psallidas, Fotis and Miao, Zhengjie and Zhang, Haoci and Rettig, Laura and Wu, Yifan and Sellam, Thibault},
        year = {2017}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
1,392 Northstar: An Interactive Data Science System 2018 VLDB 0.00010936065
1,798 SMOKE: Fine-grained Lineage at Interactive Speed 2018 VLDB 9.7361937e-05
5,366 HAIChart: Human and AI Paired Visualization System 2024 VLDB 6.2457679e-05
6,737 Towards Democratizing Relational Data Visualization 2019 SIGMOD 5.7875328e-05
11,915 Demonstration of Smoke: A Deep Breath of Data-Intensive Lineage Applications 2018 SIGMOD 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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