Applications of Inductive Logic Programming

From Ontology Learning

Jump to: navigation, search
type article
title Applications of Inductive Logic Programming
author Ivan Bratko, Ross D. King
editor
year
journal
pages
publisher
booktitle
series

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.

Personal tools
Namespaces
Variants
Actions
Navigation
browse data
create data
Toolbox