Finding and Approximating Top-k Answers in Keyword Proximity Search
Summary: Under data complexity, an efficient top-1 algorithm for keyword-proximity Q-fragments yields polynomial-delay algorithms for ranked enumeration and top-k computation. With query-and-data complexity, a θ-approximate top-1 yields (θ+1)-approximate ranked enumeration and top-k, giving the first provable approximate enumeration/top-k algorithms. (summarized by gpt-5-mini on Feb 09 2026)
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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 |
|---|---|---|---|---|
| 8 | Optimal Aggregation Algorithms for Middleware [Extended Abstract] | 2001 | PODS | 0.0015436578 |
| 53 | DISCOVER: Keyword Search in Relational Databases | 2002 | VLDB | 0.00065993143 |
| 337 | Bidirectional Expansion For Keyword Search on Graph Databases | 2005 | VLDB | 0.00027002505 |
| 1,680 | DBXplorer: Enabling Keyword Search over Relational Databases | 2002 | SIGMOD | 0.00010923824 |
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