Semantic Web Dog Food

1. Ontology Granulation Through Inductive Decision Trees
2. Evidential Nearest-Neighbors Classification for Inductive ABox Reasoning
3. Combining Semantic Web Search with the Power of Inductive Reasoning
4. An Algorithm for Learning with Probabilistic Description Logics
5. Probabilistic Ontology and Knowledge Fusion for Procurement Fraud Detection in Brazil
6. Axiomatic First-Order Probability
7. Position paper: Uncertainty reasoning for linked data
8. BeliefOWL: an Evidential Representation in OWL Ontology
9. Fuzzy Taxonomies for Creative Knowledge Discovery

The following people were involved in Uncertainty Reasoning for the Semantic Web: Fernando Bobillo, Silvia Calegari, Rommel Carvalho, Paulo C. G. Costa, Fabio G. Cozman, Claudia d'Amato, Floriana Esposito, Amira Essaid, Nicola Fanizzi, Bettina Fazzinga, Bart Gajderowicz, Georg Gottlob, Marcelo Ladeira, Kathryn B. Laskey, Kenneth J. Laskey, Thomas Lukasiewicz, José Eduardo Ochoa Luna, Anders L. Madsen, Andrei Majidian, Trevor Martin, Shou Matsumoto, Matthias Nickles, Jeff Z. Pan, Yung Peng, Michael Pool, Livia Predoiu, Guilin Qi, Dave Reynolds, Carlos Henrique Ribeiro, Dave Robertson, Alireza Sadeghian, Laécio Santos, Sergej Sizov, Pavel Smrz, Giorgos Stoilos, Umberto Straccia, Daniel Sánchez, Andreas Tolk, Johanna Voelker, Peter Vojtas, Ben Yaghlane, Siyao Zheng

Resource URI on the dog food server: http://data.semanticweb.org/workshop/ursw/2009
The named graph containing everything about this event: http://data.semanticweb.org/workshop/ursw/2009/complete

Explore this resource elsewhere:

• on Snorql
• on VisiNav
• on Sindice