This book constitutes the strictly refereed post-workshop proceedings of the 6th International Workshop on Inductive Logic Programming, ILP-96, held in Stockholm, Sweden, in August 1996.The 21 full papers were carefully reviewed and selected for inclusion in the book in revised version.

Inductive logic programming for natural language processing.- An initial experiment into stereochemistry-based drug design using inductive logic programming.- Applying ILP to diterpene structure elucidation from 13C NMR spectra.- Analysis and prediction of piano performances using inductive logic programming.- Noise detection and elimination applied to noise handling in a KRK chess endgame.- Feature construction with inductive logic programming: A study of quantitative predictions of biological activity by structural attributes.- Polynomial-time learning in logic programming and constraint logic programming.- Analyzing and learning ECG waveforms.- Learning rules that classify ocular fundus images for glaucoma diagnosis.- A new design and implementation of progol by bottom-up computation.- Inductive logic program synthesis with DIALOGS.- Relational knowledge discovery in databases.- Efficient ?-subsumption based on graph algorithms.- Integrity constraints in ILP using a Monte Carlo approach.- Restructuring chain datalog programs.- Top-down induction of logic programs from incomplete samples.- Least generalizations under implication.- Efficient proof encoding.- Learning Logic programs with random classification noise.- Handling Quantifiers in ILP.- Learning from positive data.- ?-Subsumption and its application to learning from positive-only examples.