Kyrix-J: Visual Discovery of Connected Datasets in a Data Lake
Summary: Kyrix-J enables rapid visual discovery of connected datasets in data lakes by letting users “jump” between interactive views that follow dataset- and record-level links. It auto-generates jump paths (no manual app-authoring), exposes a UI tailored to exploration tasks, and a user study shows easy, effective exploration of linked datasets. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Wenbo Tao (Massachusetts Institute of Technology)
- 2. Adam Sah (Independent)
- 3. Leilani Battle (University of Washington)
- 4. Remco Chang (Tufts University)
- 5. Michael Stonebraker (Massachusetts Institute of Technology)
BibTeX Citation
@inproceedings{tao_cidr22,
address = {Amsterdam, Netherlands},
series = {{CIDR} '22},
title = {{Kyrix-J: Visual Discovery of Connected Datasets in a Data Lake}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Tao, Wenbo and Sah, Adam and Battle, Leilani and Chang, Remco and Stonebraker, Michael},
year = {2022}
}Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 514 | Goods: Organizing Google's Datasets | 2016 | SIGMOD | 0.00017178673 |
| 516 | Data Curation at Scale: The Data Tamer System | 2013 | CIDR | 0.00017171198 |
| 1,521 | On Multi-Column Foreign Key Discovery | 2010 | VLDB | 0.00010506299 |
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