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)
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Authors
- 1. Wenbo Tao
- 2. Adam Sah
- 3. Leilani Battle
- 4. Remco Chang
- 5. Michael Stonebraker
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 488 | Data Curation at Scale: The Data Tamer System | 2013 | CIDR | 0.00022029993 |
| 609 | Goods: Organizing Google's Datasets | 2016 | SIGMOD | 0.00019223217 |
| 1,661 | On Multi-Column Foreign Key Discovery | 2010 | VLDB | 0.00010967185 |
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