SlimShot: In-Database Probabilistic Inference for Knowledge Bases
Summary: SlimShot compiles MLNs into tuple-independent probabilistic databases, combining safe query evaluation with Monte Carlo sampling for scalable KB inference. Joint numerator/denominator estimation and cardinality-adaptive proposals provide formal error guarantees, outperforming MCMC engines. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Eric Gribkoff (University of Washington)
- 2. Dan Suciu (University of Washington)
BibTeX Citation
@article{gribkoff_vldb16,
title = {{SlimShot: In-Database Probabilistic Inference for Knowledge Bases}},
author = {Gribkoff, Eric and Suciu, Dan},
journal = {PVLDB},
series = {{VLDB} '16},
volume = {9},
number = {7},
pages = {552--563},
doi = {10.14778/2904483.2904485},
url = {https://doi.org/10.14778/2904483.2904485},
year = {2016}
}Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 318 | DeepDB: Learn from Data, not from Queries! | 2020 | VLDB | 0.00021166957 |
| 2,982 | Query-Driven On-The-Fly Knowledge Base Construction | 2018 | VLDB | 7.7838352e-05 |
| 6,843 | Probabilistic Databases for All | 2020 | PODS | 5.6647759e-05 |
| 11,706 | Probabilistic Reasoning at Scale: Trigger Graphs to the Rescue | 2023 | SIGMOD | 4.9769913e-05 |
| 11,752 | Collective Grounding: Applying Database Techniques to Grounding Templated Models | 2023 | VLDB | 4.9769913e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 328 | Declarative Information Extraction Using Datalog with Embedded Extraction Predicates | 2007 | VLDB | 0.00020921862 |
| 579 | Incremental Knowledge Base Construction Using DeepDive | 2015 | VLDB | 0.00016083582 |
| 696 | MYSTIQ: A system for finding more answers by using probabilities | 2005 | SIGMOD | 0.00014691377 |
| 935 | Probase: A Probabilistic Taxonomy for Text Understanding | 2012 | SIGMOD | 0.00012998175 |
| 1,063 | Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS | 2011 | VLDB | 0.00012208 |
| 3,040 | Knowledge Expansion over Probabilistic Knowledge Bases | 2014 | SIGMOD | 7.7229256e-05 |
| 4,029 | Towards High-Throughput Gibbs Sampling at Scale: A Study across Storage Managers | 2013 | SIGMOD | 6.840359e-05 |
| 4,766 | Probabilistic Databases with MarkoViews | 2012 | VLDB | 6.424681e-05 |
| 5,342 | Approximate Lifted Inference with Probabilistic Databases | 2015 | VLDB | 6.171876e-05 |
| 7,026 | GeoDeepDive: Statistical Inference using Familiar Data-Processing Languages | 2013 | SIGMOD | 5.6157971e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 5,024 | Querying Probabilistic Information Extraction | 2010 | VLDB |
| 2 | 3,771 | Optimizing MPF Queries: Decision Support and Probabilistic Inference | 2007 | SIGMOD |
| 3 | 8,914 | A Query Engine for Probabilistic Preferences | 2018 | SIGMOD |
| 4 | 690 | Creating Probabilistic Databases from Information Extraction Models | 2006 | VLDB |
| 5 | 51 | Efficient Query Evaluation on Probabilistic Databases | 2004 | VLDB |
| 6 | 8,650 | Anytime Approximation in Probabilistic Databases via Scaled Dissociations | 2019 | SIGMOD |
| 7 | 4,143 | Hybrid In-Database Inference for Declarative Information Extraction | 2011 | SIGMOD |
| 8 | 4,657 | A Temporal-Probabilistic Database Model for Information Extraction | 2013 | VLDB |
| 9 | 2,021 | Scalable Probabilistic Databases with Factor Graphs and MCMC | 2010 | VLDB |
| 10 | 3,040 | Knowledge Expansion over Probabilistic Knowledge Bases | 2014 | SIGMOD |