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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
314
Venue
CIDR
Year
2017
Pagerank
5.296418e-05
Overall Rank
5,867 | 59.19%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
1,350 Northstar: An Interactive Data Science System 2018 VLDB 0.00012431059
2,280 SMOKE: Fine-grained Lineage at Interactive Speed 2018 VLDB 9.1111033e-05
3,970 HAIChart: Human and AI Paired Visualization System 2024 VLDB 6.5784767e-05
6,842 Towards Democratizing Relational Data Visualization 2019 SIGMOD 4.9103931e-05
11,710 Demonstration of Smoke: A Deep Breath of Data-Intensive Lineage Applications 2018 SIGMOD 4.1945683e-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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