Inductive Logic Programming: 19th International Conference, ILP 2009, Leuven, Belgium, July 02-04, 2009. Revised Papers

Description

This book constitutes the proceedings of the 19th International Conference on Inductive Logic Programming, held in Leuven, Belgium, in July 2009. Front Matter....Pages - Knowledge-Directed Theory Revision....Pages 1-8 Towards Clausal Discovery for Stream Mining....Pages 9-16 On the Relationship between Logical Bayesian Networks and Probabilistic Logic Programming Based on the Distribution Semantics....Pages 17-24 Induction of Relational Algebra Expressions....Pages 25-33 A Logic-Based Approach to Relation Extraction from Texts....Pages 34-48 Discovering Rules by Meta-level Abduction....Pages 49-64 Inductive Generalization of Analytically Learned Goal Hierarchies....Pages 65-72 Ideal Downward Refinement in the $\mathcal{EL}$ Description Logic....Pages 73-87 Nonmonotonic Onto-Relational Learning....Pages 88-95 CP-Logic Theory Inference with Contextual Variable Elimination and Comparison to BDD Based Inference Methods....Pages 96-109 Speeding Up Inference in Statistical Relational Learning by Clustering Similar Query Literals....Pages 110-122 Chess Revision: Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples....Pages 123-130 ProGolem: A System Based on Relative Minimal Generalisation....Pages 131-148 An Inductive Logic Programming Approach to Validate Hexose Binding Biochemical Knowledge....Pages 149-165 Boosting First-Order Clauses for Large, Skewed Data Sets....Pages 166-177 Incorporating Linguistic Expertise Using ILP for Named Entity Recognition in Data Hungry Indian Languages....Pages 178-185 Transfer Learning via Relational Templates....Pages 186-193 Automatic Revision of Metabolic Networks through Logical Analysis of Experimental Data....Pages 194-201 Finding Relational Associations in HIV Resistance Mutation Data....Pages 202-208 ILP, the Blind, and the Elephant: Euclidean Embedding of Co-proven Queries....Pages 209-216 Parameter Screening and Optimisation for ILP Using Designed Experiments....Pages 217-225 Don’t Fear Optimality: Sampling for Probabilistic-Logic Sequence Models....Pages 226-233 Policy Transfer via Markov Logic Networks....Pages 234-248 Can ILP Be Applied to Large Datasets?....Pages 249-256 Back Matter....Pages -