BIRDS: Programming view update strategies in Datalog

Summary: BIRDS enables declarative Datalog-based view-update strategies, addressing the ambiguity of updatable views. Validates well-behavedness, optimizes, compiles to PostgreSQL SQL, and emits counterexamples to diagnose and fix buggy Datalog programs. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 12345
Venue: VLDB
Year: 2020
Pagerank: -
Overall Rank: 13,487 | 7.47%
DOI: 10.14778/3415478.3415503

Incoming Non-self Citations Over Time

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Authors

1. Van-Dang Tran (National Institute of Informatics; SOKENDAI)
2. Hiroyuki Kato (National Institute of Informatics; SOKENDAI)
3. Zhenjiang Hu (National Institute of Informatics; Peking University)

BibTeX Citation

@article{tran_vldb20,
        title = {{BIRDS: Programming view update strategies in Datalog}},
        author = {Tran, Van-Dang and Kato, Hiroyuki and Hu, Zhenjiang},
        journal = {PVLDB},
        series = {{VLDB} '20},
        volume = {13},
        number = {12},
        pages = {2897--2900},
        doi = {10.14778/3415478.3415503},
        url = {https://doi.org/10.14778/3415478.3415503},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

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Rank	Citing Paper	Year	Venue	Pagerank

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
11,827	Programmable View Update Strategies on Relations	2020	VLDB	5.093636e-05

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9	9,706	Understanding the implications of view update policies	1985	VLDB
10	11,827	Programmable View Update Strategies on Relations	2020	VLDB