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Efficient Approximations of Conjunctive Queries

Summary: Defines sound approximations of conjunctive queries as queries from tractable classes (acyclic, bounded (hyper)treewidth) that minimize disagreement with the original Q, proving such approximations always exist and are polynomial (often linear) in |Q|. Relates closure properties to existence, gives combinatorial bounds and counts, and analyzes complexity of finding/recognizing approximations and of variants that return all correct answers. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1582
Venue
PODS
Year
2012
Pagerank
4.4363908e-05
Overall Rank
8,851 | 38.43%
DOI
-

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Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Rank Citing Paper Year Venue Pagerank
1,037 Querying Graph Databases 2013 PODS 0.00014502493
4,058 Efficient Evaluation and Approximation of Well-designed Pattern Trees 2015 PODS 6.4866036e-05
6,948 Semantic Acyclicity on Graph Databases 2013 PODS 4.8898337e-05
7,085 Querying Big Data by Accessing Small Data 2015 PODS 4.8388174e-05
10,860 Exploring Exploratory Querying 2025 VLDB 4.1945683e-05
11,829 Semantic Acyclicity Under Constraints 2016 PODS 4.1945683e-05
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