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Optimizing the Chase: Scalable Data Integration under Constraints

Summary: Frugal chase yields smaller universal solutions for data exchange/integration under constraints with polynomial data complexity. Graph-based mappings/constraints enable scalable frugal-chase query rewriting under LAV-weakly-acyclic targets, delivering large speedups and smaller rewritings. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10885
Venue
VLDB
Year
2014
Pagerank
4.7135369e-05
Overall Rank
7,508 | 47.82%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 4 of 4 citing papers.

Rank Citing Paper Year Venue Pagerank
3,007 Benchmarking the Chase 2017 PODS 7.7243073e-05
7,797 ForBackBench: A Benchmark for Chasing vs. Query-Rewriting 2022 VLDB 4.6438053e-05
9,130 Enabling Personal Consent in Databases 2022 VLDB 4.3858872e-05
11,163 Bounded Treewidth and the Infinite Core Chase: Complications and Workarounds toward Decidable Querying 2023 PODS 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

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

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