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Type Inference for Datalog and its Application to Query Optimisation

Summary: Targeting OO-Datalog compiled to Datalog with negation, paper introduces non-Cartesian type inference that tracks field equalities to enable optimisations similar to virtual method resolution. Algorithm is sound, optimal for negation-free Datalog, and yields practical speedups in a commercial system. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1469
Venue
PODS
Year
2008
Pagerank
5.1158809e-05
Overall Rank
6,312 | 56.09%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
2,727 Semantic Query Optimization in the Presence of Types 2010 PODS 8.2216778e-05
5,620 Datalog and Emerging Applications: An Interactive Tutorial 2011 SIGMOD 5.407079e-05
6,957 Adding Magic to an Optimising Datalog Compiler 2008 SIGMOD 4.8859842e-05
9,676 Schema-Based Query Optimisation for Graph Databases 2025 SIGMOD 4.3047774e-05
12,346 Autocompletion for Mashups 2009 VLDB 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

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