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

@article{Niu2011TuffySU,
  title={Tuffy: Scaling up Statistical Inference in Markov Logic Networks using an RDBMS},
  author={Feng Niu and Christopher R{\'e} and AnHai Doan and Jude W. Shavlik},
  journal={PVLDB},
  year={2011},
  volume={4},
  pages={373-384}
}
Markov Logic Networks (MLNs) have emerged as a powerful framework that combines statistical and logical reasoning; they have been applied to many data intensive problems including information extraction, entity resolution, and text mining. Current implementations of MLNs do not scale to large real-world data sets, which is preventing their widespread adoption. We present Tuffy that achieves scalability via three novel contributions: (1) a bottom-up approach to grounding that allows us to… CONTINUE READING

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