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09:00 - 10:30 |
Session 1
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09:00 – 09:10 |
Workshop opening
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09:10 –10:10 |
Ross D. King, Invited talk
Talk title:"Automating Science and Finding Patterns in the Data"
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10:10 –10:30 |
Learning in ontological representation
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Francesca Alessandra Lisi and Floriana Esposito
Learning Semantic Web Rules: State of the Art and Directions of Research (slides)
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10:30 - 11:00 |
Coffee Break
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11:00 - 13:00 |
Session 2
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11:00-12:00 |
Uncertain inference over semantic resources
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Thomas Scharrenbach and Abraham Bernstein
On the Evolution of Ontologies using Probabilistic Description Logics (slides) |
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Ilianna Kollia, Nikolaos Simou, Giorgos Stamou and Andreas Stafylopatis
Interweaving Knowledge Representation and Adaptive Neural Networks (slides)
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Volker Tresp, Yi Huang, Markus Bundschus and Achim Rettinger
Materializing and Querying Learned Knowledge (slides) |
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12:00-13:00 |
Ontology as prior knowledge for learning
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Achim Rettinger and Matthias Nickles
Infinite Hidden Semantic Models for Learning with OWL DL
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Xi Bai, Baoping Cheng and Dave Robertson
Mobile Widget Sharing by Mining Peer Groups (slides)
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Stefanie Nowak and Hanna Lukashevich
Multilabel Classification Evaluation using Ontology Information (slides)
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13:00-14:30 |
Lunch
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14:30-16:00 |
Session 3
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14:30-15:30 |
Rayid Ghani, Invited talk
Talk title:"Creating and Augmenting Domain Ontologies with Machine Learning: An Industry Perspective"
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15:30-16:00 |
Ontology learning from text
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George Petasis, Vangelis Karkaletsis, Anastasia Krithara, Georgios Paliouras and Constantine Spyropoulos
Semi-automated ontology learning: the BOEMIE approach (slides)
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Adrian Giurca and Gerd Wagner
An Agent-Based Simulation Perspective for Learning/Merging Ontologies
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16:00 - 16:30 |
Coffee Break
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16:30 - 18:30 |
Session 4
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16:30 - 17:15 |
Finding associations between semantic resources
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Tomi Kauppinen, Kimmo Puputti, Panu Paakkarinen, Heini Kuittinen, Jari Väätäinen and Eero Hyvönen
Learning and Visualizing Cultural Heritage Connections between Places on the Semantic Web
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Ondrej Svab-Zamazal and Vojtech Svatek
Empirical Knowledge Discovery over Ontology Matching Results (slides)
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17:15-18:00 |
Mining user preferences
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Amancio Bouza, Gerald Reif and Abraham Bernstein
Probabilistic Partial User Model Similarity for Collaborative Filtering (slides)
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Yusuke Fukazawa, Takefumi Naganuma, Midori Onogi and Shoji Kurakake
Task-ontology Based Preference Estimation for Mobile Recommendation
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