Program:
9.00 – 9.30: Welcome and Introduction
Recommendation and classification
9.30 – 10.00: Improving Tag-based Resource Recommendation with Association Rules on Folksonomies – Beldjoudi Samia, Hassina Seridi and Catherine Faron Zucker
10.00 – 10.20: Finding similar research papers using language models – German Hurtado Martin, Steven Schockaert, Chris Cornelis and Helga Naessens
10.20 – 10.30: Towards Ranking in Folksonomies for Personalized Recommender Systems in E-Learning – Mojisola Anjorin, Christoph Rensing and Ralf Steinmetz
10.30 – 11.00: Coffe Break
11.00 – 11.20: User’s food preference extraction for cooking recipe recommendation – Mayumi Ueda, Mari Takahata and Shinsuke Nakajima
11.20 – 11:50: Performance Measures for Multi-Graded Relevance – Christian Scheel, Andreas Lommatzsch and Sahin Albayrak
11.50 – 12.10: A Dimensionality Reduction Approach for Semantic Document Classification – Oskar Ahlgren, Pekka Malo, Ankur Sinha, Pekka Korhonen and Jyrki Wallenius
12:10 – 12:30: Personalized Filtering of the Twitter Stream – Pavan Kapanipathi, Fabrizio Orlandi, Amit Sheth and Alexandre Passant
12:30 – 14:00: Lunch Break
User modelling
14.00 – 14.30: Elias Zavitsanos, George A. Vouros and Georgios Paliouras – Classifying Users and Identifying User Interests in Folksonomies
14.30 – 15.00: User Modeling for the Social Semantic Web – Till Plumbaum, Songxuan Wu, Ernesto William De Luca and Sahin Albayrak
Various PIM support
15.00 – 15.20: Personalization in Skipforward, an Ontology-Based Distributed Annotation System – Malte Kiesel and Florian Mittag
15.20 – 15.30: A Model for Assisting Business Users along Analytical Processes – Corentin Follenfant, David Trastour and Olivier Corby
15.30 – 16.00: A Privacy Preference Manager for the Social Semantic Web – Owen Sacco and Alexandre Passant
16.00 – 16.30: Coffee Break
16.30 – 16.50:User-sensitive Explanations under a Knowledge Pattern Lens – Alessandro Adamou, Paolo Ciancarini, Aldo Gangemi and Valentina Presutti
16.50 – 18.00: Closing Discussion
List of accepted papers:
- Samia Beldjoudi, Hassina Seridi and Catherine Faron Zucker – Improving Tag-based Resource Recommendation with Association Rules on Folksonomies
- German Hurtado Martin, Steven Schockaert, Chris Cornelis and Helga Naessens – Finding similar research papers using language models
- Mojisola Anjorin, Christoph Rensing and Ralf Steinmetz – Towards Ranking in Folksonomies for Personalized Recommender Systems in E-Learning
- Mayumi Ueda, Mari Takahata and Shinsuke Nakajima – User’s food preference extraction for cooking recipe recommendation
- Christian Scheel, Andreas Lommatzsch and Sahin Albayrak – Performance Measures for Multi-Graded Relevance
- Oskar Ahlgren, Pekka Malo, Ankur Sinha, Pekka Korhonen and Jyrki Wallenius – A Dimensionality Reduction Approach for Semantic Document Classification
- Pavan Kapanipathi, Fabrizio Orlandi, Amit Sheth and Alexandre Passant – Personalized Filtering of the Twitter Stream
- Elias Zavitsanos, George A. Vouros and Georgios Paliouras – Classifying Users and Identifying User Interests in Folksonomies
- Till Plumbaum, Songxuan Wu, Ernesto William De Luca and Sahin Albayrak – User Modeling for the Social Semantic Web
- Malte Kiesel and Florian Mittag – Personalization in Skipforward, an Ontology-Based Distributed Annotation System
- Corentin Follenfant, David Trastour and Olivier Corby – A Model for Assisting Business Users along Analytical Processes
- Owen Sacco and Alexandre Passant – A Privacy Preference Manager for the Social Semantic Web
- Alessandro Adamou, Paolo Ciancarini, Aldo Gangemi and Valentina Presutti – User-sensitive Explanations under a Knowledge Pattern Lens
