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Call for Papers

1st International Workshop on Adaptation, Personalization and REcommendation
in the Social-semantic Web (APRESW 2010)
31 May 2010 | Heraklion, Greece
http://nets.ii.uam.es/apresw2010/

In conjunction with the
7th Extended Semantic Web Conference (ESWC 2010)
http://www.eswc2010.org/
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Important dates
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* Paper submission: 15 March 2010 (extended)
* Notification of paper acceptance/rejection: 5 April 2010
* Camera-ready copies of accepted papers: 18 April, 2010
* APRESW 2010 Workshop: 30 or 31 May 2010

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Motivation
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During the last years, researchers and practitioners of the Semantic Web
have progressively consolidated a number of very important achievements.
Formal languages have been standardized to define ontology-based knowledge
representations, logic formalisms and query models. Ontology engineering
methodologies and tools have been proposed to ease the designing and
populating of ontological knowledge bases. Reasoning engines have been
implemented to exploit inference capabilities of ontologies, and
semantic-based frameworks have been built to enrich the functionalities of
Web services. These achievements are the pillars to deal with the complex
challenge of bringing semantics to the Web.

The above gives a new ground to extend the focus of the Semantic Web by
engaging it in other communities, where semantics can play an important
role. The available semantic knowledge bases can be used to enrich and link
additional repositories, ontology engineering techniques can be utilized to
properly design and build ontologies in further real-world domains, and
inference and query mechanisms can enhance classic information management
and retrieval approaches.

Among these communities, this workshop aims to attract the attention of
students and professionals both from academia and industry who take benefit
of semantic-based techniques and technologies in within-application
Adaptation, Personalization and Recommendation approaches. In parallel to
the progress made in the Semantic Web research topics, there have been
appearing works in the above areas that use ontologies to model the user’s
preferences, tastes and interests, and exploit these personal features
together with meta-information about multimedia contents in order to provide
the user with adaptation and personalization capabilities for different
purposes such as information retrieval and item recommendation.

Moreover, with the advent of the Web 2.0 (also called the Social Web), the
potential study and development of those approaches have increased
exponentially. Social networks allow people to provide explicit
relationships with others, and find out implicit user similarities based on
their profiles. Social tagging services offer the opportunity to easily
create and exploit personal knowledge representations. Wiki-style sites
represent an environment where the community contributes and shares
information, and blogs are media in which users express subjective opinions.
In all of these scenarios, adaptation, personalization and recommendation
are core functionalities. However, the understanding and exploitation of the
semantics underlying user and item profiles are still open issues.

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Topics of interest
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The workshop will focus on establishing user/usage models for adaptation,
personalization and recommendation approaches for the Social-semantic Web.

Topics of interest include, but are not limited to the exploitation of the
Web of Data, the identification of semantics underlying social annotations
of multimedia contents, and the application of semantic-based techniques and
technologies in research fields related to:

* Personalized access to multimedia content
* Content-based recommendation and collaborative filtering
* Adaptive exploration of multimedia content
* Adaptive user interfaces for multimedia content browsing and searching
* Community extraction and exploitation
* Social networks analysis for collaborative recommendation
* User profile construction based on social tagging information
* Context-aware multimedia content access and delivery
* Mobile and ubiquitous multimedia content access and delivery

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Organizing Committee
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* Iván Cantador, Universidad Autónoma de Madrid, Spain
* Peter Mika, Yahoo! Research, Spain
* David Vallet, Universidad Autónoma de Madrid, Spain
* José C. Cortizo, Universidad Europea de Madrid, Spain
* Francisco M. Carrero, Universidad Europea de Madrid, Spain

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Program Committee
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* Sofia Angeletou, Knowledge Media Institute, The Open University, UK
* Ching-man Au Yeung, NTT Communication Science Labs, Japan
* Pablo Castells, Universidad Autónoma de Madrid, Spain
* Manuel Cebrián, Massachusetts Institute of Technology, USA
* Rosta Farzan, Carnegie Mellon University, USA
* Miriam Fernández, Knowledge Media Institute, The Open University, UK
* Enrique Frías, Telefónica I+D, Spain
* Ana García-Serrano, Universidad Nacional de Educación a Distancia,
Spain
* Andrés García-Silva, Universidad Politécnica de Madrid, Spain
* Tom Heath, Talis, UK
* Frank Hopfgartner, University of Glasgow, UK
* Ioannis Konstas, University of Edinburgh, UK
* Estefanía Martín, Universidad Rey Juan Carlos, Spain
* Phivos Mylonas, National Technical University of Athens, Greece
* Daniel Olmedilla, Telefónica I+D, Spain
* Carlos Pedrinaci, Knowledge Media Institute, The Open University, UK
* Jérôme Picault, Alcatel-Lucent Bell Labs, France
* Francesco Ricci, Free University of Bozen-Bolzano, Italy
* Sergey A. Sosnovsky, University of Pittsburgh, USA
* Martin Szomszor, City University London, UK
* Marc Torrens, Strands, Spain
* Paulo Villegas, Telefónica I+D, Spain

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Organizers
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* Universidad Autónoma de Madrid, http://www.uam.es/
* Yahoo! Research, http://research.yahoo.com/
* Universidad Europea de Madrid, http://www.esp.uem.es/gsi/

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Sponsors
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* Ministerio de Ciencia e Innovación de España (CENIT-2007-1012),
https://i3media.barcelonamedia.org/
* Consorcio MAVIR, http://www.mavir.net
* Sistema Madri+d, http://www.madrimasd.org

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Contact information
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Dr. Iván Cantador
Departamento de Ingeniería Informática
Escuela Politécnica Superior
Universidad Autónoma de Madrid, Spain
E-mail: ivan.cantador@uam.es
Phone: +34 91 497 2358