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E-raamat: Inductive Logic Programming: 18th International Conference, ILP 2008 Prague, Czech Republic, September 10-12, 2008, Proceedings

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The 18th International Conference on Inductive Logic Programming was held in Prague, September 1012, 2008. ILP returned to Prague after 11 years, and it is tempting to look at how the topics of interest have evolved during that time. The ILP community clearly continues to cherish its beloved ?rst-order logic representation framework. This is legitimate, as the work presented at ILP 2008 demonstrated that there is still room for both extending established ILP approaches (such as inverse entailment) and exploring novel logic induction frameworks (such as brave induction). Besides the topics lending ILP research its unique focus, we were glad to see in this years proceedings a good n- ber of papers contributing to areas such as statistical relational learning, graph mining, or the semantic web. To help open ILP to more mainstream research areas, the conference featured three excellent invited talks from the domains of the semantic web (Frank van Harmelen), bioinformatics (Mark Craven) and cognitive sciences (Josh Tenenbaum). We deliberately looked for speakers who are not directly involved in ILP research. We further invited a tutorial on stat- tical relational learning (Kristian Kersting) to meet the strong demand to have the topic presented from the ILP perspective. Lastly, Stefano Bertolo from the European Commission was invited to give a talk on the ideal niches for ILP in the current EU-supported research on intelligent content and semantics.
Invited Talks.- Building Theories of the World: Human and Machine
Learning Perspectives.- SRL without Tears: An ILP Perspective.- Semantic Web
Meets ILP: Unconsumated Love, or No Love Lost?.- Learning Expressive Models
of Gene Regulation.- Information Overload and FP7 Funding Opportunities in
2009-10.- Research Papers.- A Model to Study Phase Transition and Plateaus in
Relational Learning.- Top-Down Induction of Relational Model Trees in
Multi-instance Learning.- Challenges in Relational Learning for Real-Time
Systems Applications.- Discriminative Structure Learning of Markov Logic
Networks.- An Experiment in Robot Discovery with ILP.- Using the Bottom
Clause and Mode Declarations on FOL Theory Revision from Examples.- DL-FOIL
Concept Learning in Description Logics.- Feature Discovery with Type
Extension Trees.- Feature Construction Using Theory-Guided Sampling and
Randomised Search.- Foundations of Onto-Relational Learning.- L-Modified ILP
Evaluation Functions for Positive-Only Biological Grammar Learning.- Logical
Hierarchical Hidden Markov Models for Modeling User Activities.- Learning
with Kernels in Description Logics.- Querying and Merging Heterogeneous Data
by Approximate Joins on Higher-Order Terms.- A Comparison between Two
Statistical Relational Models.- Brave Induction.- A Statistical Approach to
Incremental Induction of First-Order Hierarchical Knowledge Bases.- A Note on
Refinement Operators for IE-Based ILP Systems.- Learning Aggregate Functions
with Neural Networks Using a Cascade-Correlation Approach.- Learning
Block-Preserving Outerplanar Graph Patterns and Its Application to Data
Mining.
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