Vol-474 Copyright © 2009 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. Re-publication of material from this volume requires permission by the copyright owners. This volume is published by its editors.

IRMLeS '09
Inductive Reasoning and Machine Learning on the Semantic Web

Proceedings of the First ESWC Workshop on Inductive Reasoning and Machine Learning on the Semantic Web

Heraklion, Greece, June 1, 2009

IRMLeS'09 was held in conjunction with the 6th European Semantic Web Conference (ESWC2009)

Table of Contents

Foreword (and program committee)

Invited talk abstracts

• Automating Science and Finding Patterns in the Data
  Ross D. King
• Creating and Augmenting Domain Ontologies with Machine Learning: An Industry Perspective
  Rayid Ghani

Full Papers

1. Semi-automated ontology learning: the BOEMIE approach
   George Petasis, Vangelis Karkaletsis, Anastasia Krithara, Georgios Paliouras and Constantine Spyropoulos
2. Materializing and Querying Learned Knowledge
   Volker Tresp, Yi Huang, Markus Bundschus and Achim Rettinger
3. Infinite Hidden Semantic Models for Learning with OWL DL
   Achim Rettinger and Matthias Nickles
4. Learning Semantic Web Rules: State of the Art and Directions of Research
   Francesca Alessandra Lisi and Floriana Esposito
5. Probabilistic Partial User Model Similarity for Collaborative Filtering
   Amancio Bouza, Gerald Reif and Abraham Bernstein
6. Task-ontology Based Preference Estimation for Mobile Recommendation
   Yusuke Fukazawa, Takefumi Naganuma, Midori Onogi and Shoji Kurakake
7. Learning and Visualizing Cultural Heritage Connections between Places on the Semantic Web
   Tomi Kauppinen, Kimmo Puputti, Panu Paakkarinen, Heini Kuittinen, Jari Väätäinen and Eero Hyvönen
8. On the Evolution of Ontologies using Probabilistic Description Logics
   Thomas Scharrenbach and Abraham Bernstein
9. Empirical Knowledge Discovery over Ontology Matching Results
   Ondrej Svab-Zamazal and Vojtech Svatek
10. Mobile Widget Sharing by Mining Peer Groups
    Xi Bai, Baoping Cheng and Dave Robertson

Short Papers

11. An Agent-Based Simulation Perspective for Learning/Merging Ontologies
    Adrian Giurca and Gerd Wagner
12. Interweaving Knowledge Representation and Adaptive Neural Networks
    Ilianna Kollia, Nikolaos Simou, Giorgos Stamou and Andreas Stafylopatis
13. Multilabel Classification Evaluation using Ontology Information
    Stefanie Nowak and Hanna Lukashevich