Inductive logic programming
Inductive logic programming (
ILP) is a
machine learning approach, which uses techniques of
logic programming. From a database of facts and expected results, which are divided into positive and negative examples, an ILP system tries to derive a logic program that proves all the positive and none of the negative examples.
Schema: positive examples + negative examples + background knowledge = rules.
Inductive logic programming is particularly useful in natural language processing.
Implementations