Abstract: A formal definition of Probabilistic Logic Learning is presented on the basis of Inductive Logic Programming research. Three learning settings for various Probabilistic Logic Learning approaches: probabilistic learning from interpretations, proofs and entailment are addressed based on their representation of examples and probabilistic processes. The paperinvestigates a survey of some existing Probabilistic Logic Learning approaches and systems with the three settings.

Key words: probabilistic logic learning, statistical relational learning, inductive logic programming, learning settings