Ziggy: Characterizing Query Results for Data Explorers

Summary: Ziggy identifies characteristic views—small column subsets where result tuples differ from the rest of the database—to help data explorers understand their results. It complements exploration systems by exposing why a selection is unique, guiding iterative refinement. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 11448
Venue: VLDB
Year: 2016
Pagerank: 5.2297511e-05
Overall Rank: 9,727 | 33.27%
DOI: 10.14778/3007263.3007288

Incoming Non-self Citations Over Time

Authors

1. Thibault Sellam (Centrum Wiskunde & Informatica)
2. Martin Kersten (Centrum Wiskunde & Informatica)

BibTeX Citation

@article{sellam_vldb16,
        title = {{Ziggy: Characterizing Query Results for Data Explorers}},
        author = {Sellam, Thibault and Kersten, Martin},
        journal = {PVLDB},
        series = {{VLDB} '16},
        volume = {9},
        number = {13},
        pages = {1473--1476},
        doi = {10.14778/3007263.3007288},
        url = {https://doi.org/10.14778/3007263.3007288},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
8,358	Exploring the Data Wilderness through Examples	2019	SIGMOD	5.4446041e-05

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
1,227	Blink and It's Done: Interactive Queries on Very Large Data	2012	VLDB	0.00011582387

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