Guy Van den Broeck - Lifted probabilistic inference: A guide for the database researcher (bibtex)

Lifted probabilistic inference: A guide for the database researcher (bibtex)

by Eric Gribkoff, Dan Suciu and Guy Van den Broeck

Abstract:

Modern knowledge bases such as Yago [14], DeepDive [19], and Google’s Knowledge Vault [6] are constructed from large corpora of text by using some form of supervised information extraction. The extracted data usually starts as a large probabilistic database, then its accuracy is improved by adding domain knowledge expressed as hard or soft constraints. Finally, the knowledge base can be queried using some general-purpose query language

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Reference:

Eric Gribkoff, Dan Suciu and Guy Van den Broeck. Lifted probabilistic inference: A guide for the database researcher, In Bulletin of the Technical Committee on Data Engineering, volume 37, 2014.

Bibtex Entry:

@article{GribkoffDEBUL14,
  author = "Gribkoff, Eric and Suciu, Dan and Van den Broeck, Guy",
  title = "Lifted probabilistic inference: {A} guide for the database researcher",
  journal = "Bulletin of the Technical Committee on Data Engineering",
  volume = "37",
  number = "3",
  pages = "6--17",
  month = Sep,
  year = "2014",
  url = "http://starai.cs.ucla.edu/papers/GribkoffDEBUL14.pdf",
  keywords   = {journal}
}

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