DataXFormer: Leveraging the Web for Semantic Transformations
Summary: DataXFormer leverages Web tables and dynamically-wrapped Web forms to automatically discover explicit value-mapping reference datasets for semantic data transformations. Combines an inductive filter–refine search over web tables with dynamic form retrieval, covering >80% of real-world transformation queries. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Ziawasch Abedjan
- 2. John Morcos
- 3. Michael Gubanov
- 4. Ihab F. Ilyas
- 5. Michael Stonebraker
- 6. Paolo Papotti
- 7. Mourad Ouzzani
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,469 | BlinkFill: Semi-supervised Programming By Example for Syntactic String Transformations | 2016 | VLDB | 0.00011836053 |
| 4,695 | DataXFormer: An Interactive Data Transformation Tool | 2015 | SIGMOD | 5.9927993e-05 |
| 6,270 | MATE: Multi-Attribute Table Extraction | 2022 | VLDB | 5.1337451e-05 |
| 8,499 | Synthesizing Mapping Relationships Using Table Corpus | 2017 | SIGMOD | 4.4975851e-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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