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Can Datalog be approximated?

Summary: Introduces a quantitative error notion and upper/lower-envelope constraints to study approximating recursive Datalog predicates by finite unions of CQs, contrasting absolute vs relative approximation. Proves absolute approximation impossible for unbounded Datalog, rules out constant-relative-error CQ approximations for broad unbounded classes, and gives sharp FO inapproximability for transitive closure and cycle queries. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1019
Venue
PODS
Year
1994
Pagerank
5.8012926e-05
Overall Rank
6,690 | 54.11%
DOI
10.1145/182591.182602

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chaudhuri_pods94,
        address = {New York, NY, USA},
        series = {{PODS} '94},
        title = {{Can Datalog be approximated?}},
        url = {https://dl.acm.org/doi/10.1145/182591.182602},
        doi = {10.1145/182591.182602},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Chaudhuri, Surajit and Kolaitis, Phokion G.},
        year = {1994}
}

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
4,435 Filtering with Approximate Predicates 1998 VLDB 6.7078883e-05
6,310 Type Inference for Datalog and its Application to Query Optimisation 2008 PODS 5.9176726e-05
12,888 Approximate Query Translation Across Heterogeneous Information Sources 2000 VLDB 5.093636e-05
12,986 Combinatorial Games in Database Theory 1995 PODS 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
1,957 The Parallel Complexity of Simple Chain Queries (Extended Abstract) 1987 PODS 9.4146943e-05
3,800 On the Expressive Power of Datalog: Tools and a Case Study 1990 PODS 7.1130834e-05
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