INCA: Inconsistency-Aware Data Profiling and Querying
Summary: INCA annotates inconsistencies with why-provenance and provenance polynomials against denial constraints, enabling provenance-based profiling. 4 inconsistency measures under bag/set semantics; supports top-k and threshold queries for selective cleaning. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Ousmane ISSA
- 2. Angela Bonifati
- 3. Farouk Toumani
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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 |
|---|---|---|---|---|
| 17 | Provenance Semirings | 2007 | PODS | 0.00059742957 |
| 3,341 | Data Profiling – A Tutorial | 2017 | SIGMOD | 7.565559e-05 |
| 8,023 | Evaluating Top-k Queries with Inconsistency Degrees | 2020 | VLDB | 5.5632737e-05 |
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