Inductive Logic Programming

22nd International Conference, ILP 2012, Dubrovnik, Croatia, September 17-19, 2012, Revised Selected Papers

  • Fabrizio Riguzzi
  • Filip Železný
Conference proceedings ILP 2012

DOI: 10.1007/978-3-642-38812-5

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7842)

Table of contents (18 papers)

  1. Front Matter
  2. A Relational Approach to Tool-Use Learning in Robots
    Solly Brown, Claude Sammut
    Pages 1-15
  3. A Refinement Operator for Inducing Threaded-Variable Clauses
    Angelos Charalambidis, Stasinos Konstantopoulos
    Pages 16-31
  4. Propositionalisation of Continuous Attributes beyond Simple Aggregation
    Soufiane El Jelali, Agnès Braud, Nicolas Lachiche
    Pages 32-44
  5. Topic Models with Relational Features for Drug Design
    Tanveer A. Faruquie, Ashwin Srinivasan, Ross D. King
    Pages 45-57
  6. Pairwise Markov Logic
    Daan Fierens, Kristian Kersting, Jesse Davis, Jian Chen, Martin Mladenov
    Pages 58-73
  7. Evaluating Inference Algorithms for the Prolog Factor Language
    Tiago Gomes, Vítor Santos Costa
    Pages 74-85
  8. Polynomial Time Pattern Matching Algorithm for Ordered Graph Patterns
    Takahiro Hino, Yusuke Suzuki, Tomoyuki Uchida, Yuko Itokawa
    Pages 86-101
  9. Bounded Least General Generalization
    Ondřej Kuželka, Andrea Szabóová, Filip Železný
    Pages 116-129
  10. Itemset-Based Variable Construction in Multi-relational Supervised Learning
    Dhafer Lahbib, Marc Boullé, Dominique Laurent
    Pages 130-150
  11. Identifying Driver’s Cognitive Load Using Inductive Logic Programming
    Fumio Mizoguchi, Hayato Ohwada, Hiroyuki Nishiyama, Hirotoshi Iwasaki
    Pages 166-177
  12. Opening Doors: An Initial SRL Approach
    Bogdan Moldovan, Laura Antanas, McElory Hoffmann
    Pages 178-192
  13. Probing the Space of Optimal Markov Logic Networks for Sequence Labeling
    Naveen Nair, Ajay Nagesh, Ganesh Ramakrishnan
    Pages 193-208
  14. What Kinds of Relational Features Are Useful for Statistical Learning?
    Amrita Saha, Ashwin Srinivasan, Ganesh Ramakrishnan
    Pages 209-224
  15. Learning Dishonesty
    Chiaki Sakama
    Pages 225-240
  16. Heuristic Inverse Subsumption in Full-Clausal Theories
    Yoshitaka Yamamoto, Katsumi Inoue, Koji Iwanuma
    Pages 241-256
  17. Learning Unordered Tree Contraction Patterns in Polynomial Time
    Yuta Yoshimura, Takayoshi Shoudai
    Pages 257-272
  18. Back Matter

About these proceedings


This book constitutes the thoroughly refereed post-proceedings of the 22nd International Conference on Inductive Logic Programming, ILP 2012, held in Dubrovnik, Croatia, in September 2012.

The 18 revised full papers were carefully reviewed and selected from 41 submissions. The papers cover the following topics: propositionalization, logical foundations, implementations, probabilistic ILP, applications in robotics and biology, grammatical inference, spatial learning and graph-based learning.


Markov logic networks algorithms multi-relational learning robotics structured data

Editors and affiliations

  • Fabrizio Riguzzi
    • 1
  • Filip Železný
    • 2
  1. 1.Department of Mathematics and Computer ScienceUniversity of FerraraFerraraItaly
  2. 2.Department of Computer Science and Engineering, Faculty of Electrical EngineeringCzech Technical University in PraguePrague 2Republic Czech

Bibliographic information

  • Copyright Information Springer-Verlag Berlin Heidelberg 2013
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-38811-8
  • Online ISBN 978-3-642-38812-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349