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Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS

Summary: Tuffy scales Markov Logic Networks by combining bottom-up, optimizer-driven grounding with an RDBMS/local-search hybrid. A theoretical speedup for stochastic search enables efficient partitioning, loading, and parallelism, outperforming existing MLN systems. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
h8205e4e05d81d793
Venue
VLDB
Year
2011
Pagerank
0.0001221201
Overall Rank
1,062 | 92.87%
DOI
10.14778/1978599.1978601

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{niu_vldb11,
        title = {{Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS}},
        author = {Niu, Feng and Ré, Christopher and Doan, AnHai and Shavlik, Jude},
        journal = {PVLDB},
        series = {{VLDB} '11},
        volume = {4},
        number = {6},
        pages = {373--384},
        doi = {10.14778/1978599.1978601},
        url = {https://doi.org/10.14778/1978599.1978601},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

Showing 23 of 23 citing papers.

Rank Citing Paper Year Venue Pagerank
104 HoloClean: Holistic Data Repairs with Probabilistic Inference 2017 VLDB 0.00033690989
466 Design and Implementation of the LogicBlox System 2015 SIGMOD 0.00017773029
579 Incremental Knowledge Base Construction Using DeepDive 2015 VLDB 0.00016086569
1,255 Data Management in Machine Learning: Challenges, Techniques, and Systems 2017 SIGMOD 0.00011325762
3,039 Knowledge Expansion over Probabilistic Knowledge Bases 2014 SIGMOD 7.7262528e-05
4,029 Towards High-Throughput Gibbs Sampling at Scale: A Study across Storage Managers 2013 SIGMOD 6.8419186e-05
4,393 Extracting Databases from Dark Data with DeepDive 2016 SIGMOD 6.620281e-05
4,531 Database Principles in Information Extraction 2014 PODS 6.558436e-05
4,576 SlimShot: In-Database Probabilistic Inference for Knowledge Bases 2016 VLDB 6.5244201e-05
4,588 Cleaning Inconsistencies in Information Extraction via Prioritized Repairs 2014 PODS 6.5155201e-05
4,655 A Temporal-Probabilistic Database Model for Information Extraction 2013 VLDB 6.4849316e-05
4,765 Probabilistic Databases with MarkoViews 2012 VLDB 6.4275411e-05
5,340 Approximate Lifted Inference with Probabilistic Databases 2015 VLDB 6.1731278e-05
7,025 GeoDeepDive: Statistical Inference using Familiar Data-Processing Languages 2013 SIGMOD 5.6184467e-05
7,108 ArchimedesOne: Query Processing over Probabilistic Knowledge Bases 2016 VLDB 5.601767e-05
8,254 Symmetric Weighted First-Order Model Counting 2015 PODS 5.3678689e-05
8,602 UDA-GIST: An In-database Framework to Unify Data-Parallel and State-Parallel Analytics 2015 VLDB 5.3050579e-05
8,847 Machine Learning Meets Big Spatial Data 2019 VLDB 5.2646682e-05
9,278 Ontological Pathfinding: Mining First-Order Knowledge from Large Knowledge Bases 2016 SIGMOD 5.203976e-05
11,746 Collective Grounding: Applying Database Techniques to Grounding Templated Models 2023 VLDB 4.9793485e-05
12,173 Flash in Action: Scalable Spatial Data Analysis Using Markov Logic Networks 2019 VLDB 4.9793485e-05
12,251 Holistic Query Evaluation over Information Extraction Pipelines 2018 VLDB 4.9793485e-05
12,533 Knowledge Harvesting in the Big-Data Era 2013 SIGMOD 4.9793485e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

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

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