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Subjective Databases

Summary: Introduces OpineDB, a database model and query engine for experiential, subjective attributes expressed in users’ own words alongside objective predicates. It matches query phrases to a subjective schema, combines experiential conditions, and ranks results, outperforming text-based alternatives on reviews. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h71fca763a517f5e7
Venue
VLDB
Year
2019
Pagerank
5.4507674e-05
Overall Rank
7,800 | 47.56%
DOI
10.14778/3342263.3342271

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{li_vldb19,
        title = {{Subjective Databases}},
        author = {Li, Yuliang and Feng, Aaron and Li, Jinfeng and Mumick, Saran and Halevy, Alon and Li, Vivian and Tan, Wang-Chiew},
        journal = {PVLDB},
        series = {{VLDB} '19},
        volume = {12},
        number = {11},
        pages = {1330--1343},
        doi = {10.14778/3342263.3342271},
        url = {https://doi.org/10.14778/3342263.3342271},
        year = {2019}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
2,598 Complaint-driven Training Data Debugging for Query 2.0 2020 SIGMOD 8.2385793e-05
5,410 ELEET: Efficient Learned Query Execution over Text and Tables 2024 VLDB 6.1408676e-05
9,311 VerifAI: Verified Generative AI 2024 CIDR 5.1965878e-05
11,979 Exploring Ratings in Subjective Databases 2021 SIGMOD 4.9793485e-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
5 Optimal Aggregation Algorithms for Middleware [Extended Abstract] 2001 PODS 0.0010679641
34 The Design Of Postgres 1986 SIGMOD 0.00049142315
172 Combining Fuzzy Information from Multiple Systems 1996 PODS 0.00026835705
7,203 Mining Subjective Properties on the Web 2015 SIGMOD 5.5865623e-05
7,884 Subjective Knowledge Base Construction Powered By Crowdsourcing and Knowledge Base 2018 SIGMOD 5.4335791e-05
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