Collective Grounding: Applying Database Techniques to Grounding Templated Models
Summary: Introduces collective grounding, jointly optimizing interdependent template-instantiation workloads rather than grounding rules independently. It adapts relational database techniques to relational learning/probabilistic databases, achieving up to 70% runtime reduction across seven datasets. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Eriq Augustine (University of California Santa Cruz)
- 2. Lise Getoor (University of California Santa Cruz)
BibTeX Citation
@article{augustine_vldb23,
title = {{Collective Grounding: Applying Database Techniques to Grounding Templated Models}},
author = {Augustine, Eriq and Getoor, Lise},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {8},
pages = {1843--1855},
doi = {10.14778/3594512.3594516},
url = {https://doi.org/10.14778/3594512.3594516},
year = {2023}
}
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 382 | Conjunctive-Query Containment and Constraint Satisfaction | 1998 | PODS | 0.00019546431 |
| 1,043 | Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS | 2011 | VLDB | 0.0001244565 |
| 1,269 | The Containment Problem for Real Conjunctive Queries with Inequalities | 2006 | PODS | 0.000113935 |
| 3,457 | Bag Query Containment and Information Theory | 2020 | PODS | 7.3981641e-05 |
| 4,490 | SlimShot: In-Database Probabilistic Inference for Knowledge Bases | 2016 | VLDB | 6.6666905e-05 |
| 7,867 | ForBackBench: A Benchmark for Chasing vs. Query-Rewriting | 2022 | VLDB | 5.5277527e-05 |
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