Probabilistic Inductive Querying Using ProbLog

Luc De Raedt, Angelika Kimmig, Bernd Gutmann, Kristian Kersting, Vítor Santos Costa and Hannu Toivonen

2010

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Abstract

We study how probabilistic reasoning and inductive querying can be combined within ProbLog, a recent probabilistic extension of Prolog. ProbLog can be regarded as a database system that supports both probabilistic and inductive reasoning through a variety of querying mechanisms. After a short introduction to ProbLog, we provide a survey of the different types of inductive queries that ProbLog supports, and show how it can be applied to the mining of large biological networks.

Bibtex

@InBook{raedt-idcdm10,
  author =    {L. De Raedt and A. Kimmig and B. Gutmann and K. Kersting and V. Santos Costa and H. Toivonen},
  title =     {Inductive Databases and Constraint-Based Data Mining},
  chapter =   {Probabilistic Inductive Querying Using ProbLog},
  publisher = {Springer},
  volume =    {2},
  year =      {2010},
  pages =     {229-262},
}

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