Inductive Logic Programming: 19th International Conference, ILP 2009, Leuven, Belgium, July 2-4, 2010, Revised Papers (Google eBook)

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Luc De Raedt
Springer Science & Business Media, Jul 7, 2010 - Computers - 257 pages
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The ILP conference series has been the premier forum for work on logic-based approaches to machine learning for almost two decades. The 19th International Conference on Inductive Logic Programming, which was organized in Leuven, July2-4,2009,continuedthistraditionbutalsoreachedouttoothercommunities as it was colocated with SRL-2009 – the International Workshop on Statistical RelationalLearning,andMLG-2009–the7thInternationalWorkshoponMining andLearningwithGraphs. While thesethreeseriesofeventseachhavetheirown focus,emphasis andtradition,they essentiallysharethe problemthatis studied: learning about structured data in the form of graphs, relational descriptions or logic. The colocation of the events was intended to increase the interaction between the three communities. There was a single program with joint invited and tutorial speakers, a panel, regular talks and poster sessions. The invited speakers and tutorial speakers were James Cussens, Jason Eisner, Jure Leskovec, Raymond Mooney, Scott Sanner, and Philip Yu. The panel featured Karsten Borgwardt, Luc De Raedt, Pedro Domingos, Paolo Frasconi, Thomas Gart ̈ ner, Kristian Kersting, Stephen Muggleton, and C. David Page. Video-recordings of these talks can be found atwww. videolectures. net. The overall program featured 30 talks presented in two parallel tracks and 53 posters. The talks and posters were selected on the basis of an extended abstract. These abstracts can be found at http:// dtai. cs. kuleuven. be/ilp-mlg-srl/. Inaddition,asinpreviousyears,a- lectionofthepapersofILP2009havebeenpublishedinavolumeintheLectures Notes in Arti?cial Intelligence seriesandinaspecialissueoftheMachine Lea- ing Journal.
  

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Contents

KnowledgeDirected Theory Revision
1
Towards Clausal Discovery for Stream Mining
9
On the Relationship between Logical Bayesian Networks and Probabilistic Logic Programming Based on the Distribution Semantics
17
Induction of Relational Algebra Expressions
25
A LogicBased Approach to Relation Extraction from Texts
34
Discovering Rules by Metalevel Abduction
49
Inductive Generalization of Analytically Learned Goal Hierarchies
65
Ideal Downward Refinement in the EL Description Logic
73
An Inductive Logic Programming Approach to Validate Hexose Binding Biochemical Knowledge
149
Boosting FirstOrder Clauses for Large Skewed Data Sets
166
Incorporating Linguistic Expertise Using ILP for Named Entity Recognition in Data Hungry Indian Languages
178
Transfer Learning via Relational Templates
186
Automatic Revision of Metabolic Networks through Logical Analysis of Experimental Data
194
Finding Relational Associations in HIV Resistance Mutation Data
202
Euclidean Embedding of Coproven Queries
209
Parameter Screening and Optimisation for ILP Using Designed Experiments
217

Nonmonotonic OntoRelational Learning
88
CPLogic Theory Inference with Contextual Variable Elimination and Comparison to BDD Based Inference Methods
96
Speeding Up Inference in Statistical Relational Learning by Clustering Similar Query Literals
110
Acquiring the Rules of Chess Variants through FOL Theory Revision from Examples
123
A System Based on Relative Minimal Generalisation
131
Sampling for ProbabilisticLogic Sequence Models
226
Policy Transfer via Markov Logic Networks
234
Can ILP Be Applied to Large Datasets?
249
Author Index
257
Copyright

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About the author (2010)

Luc De Raedt is currently a full professor (C4) of computer science at the Albert-Ludwigs-University Freiburg and head of the Machine Learning lab. Before coming to Freiburg in 1999, he held positions as (parttime) senior lecturer, lecturer and assistant at the Department of Computer Science of the Katholieke Universiteit Leuven (Belgium) and as post-doc of the Fund for Scientific Research, Flanders. He obtained his undergraduate degree as well as his Ph.D. in computer science from the Katholieke Universiteit Leuven (Belgium) in 1986 and 1991. His Ph.D. thesis was subsequently published by Academic Press.

De Raedt has a rich experience in European Union research projects.He (co-)coordinated the successful ESPRIT III and IV Inductive Logic Programming (1 and 2) projects, coordinated the IST assessment project APrIL, and the Marie Curie Training Site DAISY (Foundations of Intelligent Systems). He is at present also involved in the European IST-FET project cInQ belonging to FP5.

De Raedt has (co)-organised several international workshops and conferences.