[edm-announce] UMAP'09 Workshop on Adaptation and Personalization for Web 2.0: AP-WEB 2.0

This workshop aims at discussing the state-of-the-art, open problems, challenges and innovative research approaches in adaptation and personalization for Web 2.0; it provides a forum both for proposing innovative and open models, applications and new data sharing scenarios, as well as novel technologies and methodologies for creating and managing these applications.
Examples of stimulating application fields are social bookmarking environments, publication sharing systems, or, more in general, digital libraries.
Three specific questions motivate this workshop.
1. How adaptation and personalization methodologies can augment Web 2.0 environments? And how can social adaptation mechanisms be evaluated?
2. What models, techniques, and tools are the most adequate to better support Web 2.0 users?
3. How much the introduction of tools for structuring personal user spaces (currently flat) can improve the creation and navigation processes and social awareness?

TOPICS
The topics of interest for the workshop are listed below. All of them have to be considered within the combined Web 2.0/Adaptation&Personalization perspective. Topics not explicitly listed below, which anyway adhere to the goals of the workshop, will be considered as well.

General
* Adaptation and personalization models and goals for social systems
* Modeling teams and groups in Web 2.0

Information Access and Extraction
> Advanced tools for information access in social networks
> Recommender Systems of new contents
> Personalized content ranking
> Social navigation support
> Social search and browsing
> Personal information Spaces
> Information extraction, opinion mining, and sentiment analysis
> Visualizing small-world/scale-free networks
> User concept spaces and maps

Sharing data and Knowledge
> Knowledge sharing
> Sharing user profiles in social networks
> User contribution
> Decentralized user modeling in social networks

Folksonomies and tagging
> Automatic tagging
> Ontology-based computer supported tagging
> User profile construction based on tagging and annotations
> Tag recommendation in social tagging systems

Analyzing UCG and social networks
> Social network analysis
> Content-based analysis of social network
> Modeling trust and reputation
> Metrics and key performance indicators for social network analysis

User Awareness
> Social awareness and visualization
> Personalized and adaptive views
> Motivating participation
> User identities in social systems: evolution and stigmergy impact
> Capturing and processing implicit and explicit feedback
> Trust-based recommendation

Evaluation
> Evaluation of community-based adaptation techniques
> Evaluation of social adaptation mechanisms

SUBMISSION GUIDELINES
We welcome works at all stages of development: papers can describe applied systems, empirical results or theoretically grounded positions. We accept submission of full papers (8-10 pages), short papers (4 pages) and posters (2 pages)
Full papers (8-10 pages)
Short papers (4 pages)
Posters (2 pages)

Format
Papers should be formatted according to the LNCS formatting instruction (Springer author guidelines) and should be submitted via email to ap-web20@xxxxxxxxxxxxx;  they will be peer reviewed by the workshop organizing committee.

DEADLINES
Paper submission deadline: March 30th, 2009
Notification of acceptance: April 30th, 2009
Camera-ready version: May 15th, 2009

For more information please contact: ap-web20@xxxxxxxxxxxxx

ORGANIZING COMMITTEES
Carlo Tasso - Artificial Intelligence Lab, Department of Mathematics and Computer Science, University of Udine, Italy

Antonina Dattolo -Artificial Intelligence Lab, Department of Mathematics and Computer Science, University of Udine, Italy

Rosta Farzan - Personalized Adaptive Web Systems Lab, University of Pittsburgh, USA

Styliani Kleanthous - School of Computing, University of Leeds, UK

Julita Vassileva - Department of Computer Science,  University of Saskatchewan, Canada

PROGRAM COMMITTEES
Peter Brusilovsky, University of Pittsburgh, USA
Joan DiMicco, IBM T.J. Watson Research Cambridge
Vania Dimitrova, University of Leeds, UK
Jon Dron, Athabasca University, Alberta, Canada
Susan Gauch, University of Arkansas, USA
Werner Geyer, IBM T.J. Watson Research Cambridge
Alessandro Micarelli, University "Roma Tre", Roma, Italy
Cecile Paris, Macquarie University, Sydney, Australia
Carlo Strapparava, FBK-irst, Italy

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Styliani Kleanthous
School of Computing, University of Leeds
http://www.comp.leeds.ac.uk/stellak
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