Applications of Inductive Logic Programming
From Ontology Learning
|title||Applications of Inductive Logic Programming|
|author||Ivan Bratko, Ross D. King|
Some applications of Inductive Logic Programming (ILP) are presented. Those applications are chosen that specifically benefit from relational descriptions generated by ILP programs, and from ILP's ability to accommodate background knowledge. Applications included are: drug design, predicting the secondary structure of proteins, and design of finite-element meshes. Some other applications are briefly described. The practical advantages and disadvantages of ILP learning are discussed.