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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
1468
Venue
PODS
Year
2008
Pagerank
5.9176726e-05
Overall Rank
6,310 | 56.71%
DOI
10.1145/1376916.1376957

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{moor_pods08,
        address = {New York, NY, USA},
        series = {{PODS} '08},
        title = {{Type Inference for Datalog and its Application to Query Optimisation}},
        url = {https://dl.acm.org/doi/10.1145/1376916.1376957},
        doi = {10.1145/1376916.1376957},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {de Moor, Oege and Sereni, Damien and Avgustinov, Pavel and Verbaere, Mathieu},
        year = {2008}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
4,369 Semantic Query Optimization in the Presence of Types 2010 PODS 6.7390374e-05
5,473 Datalog and Emerging Applications: An Interactive Tutorial 2011 SIGMOD 6.2055397e-05
7,079 Adding Magic to an Optimising Datalog Compiler 2008 SIGMOD 5.7090732e-05
9,811 Schema-Based Query Optimisation for Graph Databases 2025 SIGMOD 5.214913e-05
12,540 Autocompletion for Mashups 2009 VLDB 5.093636e-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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