Program

09:00 - 10:30

Session 1

09:00 –10:00


Invited talk
Melanie Hilario - University of Geneva
Title: Optimizing the Knowledge Discovery Process through Semantic Meta-Mining
presentation slides


10:00 –10:30

Nicola Fanizzi, Claudia d'Amato and Floriana Esposito.

Structural Similarity in Expressive Description Logics: An Extended Family of Kernels for OWL (Full Paper)  *.pdf

10:30 - 11:00

Coffee Break

11:00 - 13:00

Session 2

 

 

Maria Esther Vidal, Louiqa Raschid, Luis Ibanez, Hector Rodriguez, Jean Carlo Rivera and Edna Ruckhaus. 

A Ranking-Based Approach to Discover Semantic Associations Between Linked Data (Full Paper)  *.pdf

Edna Ruckhaus and Maria Esther Vidal. 

The BAY-HIST Prediction Model for RDF  Documents (Full Paper) *.pdf

Tomasz Łukaszewski. 

Extending Bayesian classifier with ontological attributes (Position Paper) *.pdf

Jose Quesada, Ralph Brandao and Lael Schooler. 

Random indexing spaces for bridging the Human and Data Webs (Full Paper) *.pdf

13:00-14:30

Lunch

 

14:30-16:00

Session 3


14:30-15:30

Invited talk: Steffen Staab -  University of Koblenz-Landau

Title: From Web 2.0 to Web 3.0 using Data Mining   presentation slides

15:30-16:00

Tomas Kliegr, Vojtech Svatek, Milan Šimůnek, Daniel Šťastný and Andrej Hazucha. 

An XML Schema and a Topic Map Ontology for Formalization of Background Knowledge in Data Mining (Full Paper)  *.pdf

16:00 - 16:30

Coffee Break 

 

16:30 - 18:00

Session 4

 

16:30 - 17:10

Late breaking news

 

Andrej Hazucha, Tomas Kliegr and Vojtech Svatek. 

Importing Knowledge Fragments to CMS-Enabled Data Mining Analytical Reports (Late breaking news extended abstract)

  *.pdf

 

Ross King. 

Towards a Semantic Foundation for Bioinformatics (Late breaking news extended abstract)   *.pdf

 

17:10-18:00

Discussion & Wrap up & Workshop Closure

Time allocated for the oral presentations will be about 20 minutes presentation plus 10 minutes for questions for full and position papers, and about 15 minutes presentation plus 5 minutes for questions for late breaking news contributions.