Subjective Databases
Summary: OpineDB: a subjective database that enables experiential queries over reviews by modeling subjective attributes alongside objective ones, and introduces a schema for subjective data. Queries are translated into schema-aligned predicates for aggregation and ranking; hotel/restaurant reviews show gains over text-only baselines. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yuliang Li
- 2. Aaron Feng
- 3. Jinfeng Li
- 4. Saran Mumick
- 5. Alon Halevy
- 6. Vivian Li
- 7. Wang-Chiew Tan
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,753 | Complaint-driven Training Data Debugging for Query 2.0 | 2020 | SIGMOD | 8.1724339e-05 |
| 8,204 | ELEET: Efficient Learned Query Execution over Text and Tables | 2024 | VLDB | 4.5594273e-05 |
| 9,077 | VerifAI: Verified Generative AI | 2024 | CIDR | 4.4010762e-05 |
| 11,474 | Exploring Ratings in Subjective Databases | 2021 | SIGMOD | 4.1945683e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7 | Optimal Aggregation Algorithms for Middleware [Extended Abstract] | 2001 | PODS | 0.0015496097 |
| 44 | The Design Of Postgres | 1986 | SIGMOD | 0.00071838587 |
| 72 | Combining Fuzzy Information from Multiple Systems | 1996 | PODS | 0.00058577335 |
| 7,012 | Mining Subjective Properties on the Web | 2015 | SIGMOD | 4.8626409e-05 |
| 7,292 | Subjective Knowledge Base Construction Powered By Crowdsourcing and Knowledge Base | 2018 | SIGMOD | 4.7740174e-05 |
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