Rewrite Rules for Search Database Systems
Summary: Models search-query augmentation as rewrite programs (hedge-rewriting) that produce a least fixpoint (lfp) set of alternative queries and introduces lfp‑convergence (finiteness of each lfp). Shows lfp‑convergence undecidable, gives a polynomial-time decidable safety condition that guarantees convergence and validates it on a deployed rewrite program. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Ronald Fagin
- 2. Benny Kimelfeld
- 3. Yunyao Li
- 4. Sriram Raghavan
- 5. Shivakumar Vaithyanathan
Incoming Citations (Sorted by Pagerank)
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| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,406 | Cleaning Inconsistencies in Information Extraction via Prioritized Repairs | 2014 | PODS | 5.5239588e-05 |
| 12,070 | Next Generation Data Analytics at IBM Research | 2013 | VLDB | 4.1905499e-05 |
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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 |
|---|---|---|---|---|
| 3,347 | Avatar Semantic Search: A Database Approach to Information Retrieval | 2006 | SIGMOD | 7.1902278e-05 |
| 8,030 | Understanding Queries in a Search Database System | 2010 | PODS | 4.5984458e-05 |
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