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Inductive Logic Programming

18th International Conference, ILP 2008 Prague, Czech Republic, September 10-12, 2008, Proceedings

  • Conference proceedings
  • © 2008

Overview

Editors:
  1. Filip Železný
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  2. Nada Lavrač
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5194)

Part of the book sub series: Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: ILP 2008.

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Table of contents (25 papers)

  1. Front Matter

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  3. Research Papers

    1. A Model to Study Phase Transition and Plateaus in Relational Learning

      • Erick Alphonse, Aomar Osmani
      Pages 6-23

    2. Top-Down Induction of Relational Model Trees in Multi-instance Learning

      • Annalisa Appice, Michelangelo Ceci, Donato Malerba
      Pages 24-41

    3. Challenges in Relational Learning for Real-Time Systems Applications

      • Mark Bartlett, Iain Bate, Dimitar Kazakov
      Pages 42-58

    4. Discriminative Structure Learning of Markov Logic Networks

      • Marenglen Biba, Stefano Ferilli, Floriana Esposito
      Pages 59-76

    5. An Experiment in Robot Discovery with ILP

      • Gregor Leban, Jure Žabkar, Ivan Bratko
      Pages 77-90

    6. Using the Bottom Clause and Mode Declarations on FOL Theory Revision from Examples

      • Ana Luísa Duboc, Aline Paes, Gerson Zaverucha
      Pages 91-106

    7. DL-FOIL Concept Learning in Description Logics

      • Nicola Fanizzi, Claudia d’Amato, Floriana Esposito
      Pages 107-121

    8. Feature Discovery with Type Extension Trees

      • Paolo Frasconi, Manfred Jaeger, Andrea Passerini
      Pages 122-139

    9. Feature Construction Using Theory-Guided Sampling and Randomised Search

      • Sachindra Joshi, Ganesh Ramakrishnan, Ashwin Srinivasan
      Pages 140-157

    10. Foundations of Onto-Relational Learning

      • Francesca A. Lisi, Floriana Esposito
      Pages 158-175

    11. L-Modified ILP Evaluation Functions for Positive-Only Biological Grammar Learning

      • Thierry Mamer, Christopher H. Bryant, John McCall
      Pages 176-191

    12. Logical Hierarchical Hidden Markov Models for Modeling User Activities

      • Sriraam Natarajan, Hung H. Bui, Prasad Tadepalli, Kristian Kersting, Weng-Keen Wong
      Pages 192-209

    13. Learning with Kernels in Description Logics

      • Nicola Fanizzi, Claudia d’Amato, Floriana Esposito
      Pages 210-225

    14. Querying and Merging Heterogeneous Data by Approximate Joins on Higher-Order Terms

      • Simon Price, Peter Flach
      Pages 226-243
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About this book

The 18th International Conference on Inductive Logic Programming was held in Prague, September 10–12, 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 year’s 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.

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