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                      ESWC 2007 Workshop

       Bridging the Gap between Semantic Web and Web 2.0

         http://www.kde.cs.uni-kassel.de/ws/eswc2007/

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The aim of this workshop is to bridge the gap between the Semantic
Web and the upcoming Web 2.0 communities. Since both communities
work on network like data structures, analysis methods from
different fields of research could form a link between those
communities. Techniques can be, but are not limited to, Social
Network Analysis, graph analysis, machine learning or data mining
methods. By bringing together researchers from different fields, we
aim to achieve this goal.


The broad topics of interest to this workshop are, but are not
limited to:
  * Analyzing and Mining Web 2.0 for Semantic Web
  * SNA in Semantic Web
  * Social Semantic Network or Semantic Web in Social environments
For more detail please visit our website:
http://www.kde.cs.uni-kassel.de/ws/eswc2007/#topics

We invite researchers to submit

* Technical papers, up to 12 pages, in any of the topics of interest
  of the workshop (but not limited to them).
* Short position papers, up to 6 pages, in any of the topics of
  interest of the workshop (but not limited to them)

All submissions must be sent to the workshop contact,
[log in to unmask]

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Important dates:
    * First call for papers: January, 2007
    * Abstract submissions: March 23, 2007
    * Full paper submissions: March 30, 2007
    * Notification of acceptance: April 27, 2007
    * Camera ready deadline: May 7, 2007
    * Workshop: June 6-7, 2007

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Aims and objectives of the workshop:

New kinds of highly popular user-centered applications such as
blogs, folksonomies, and wikis, have come to be known as "Web 2.0".
The reason for their immediate success is the fact that no specific
skills are needed for participating. These new kinds of tools do not
only provide data but also generate a lot of weakly structured meta
data. One perfect example is tagging. Here users add tags to a
resource which can be seen as a kind of meta data. Tags are supposed
to describe, from the user?s point of view, the resource. Such meta
data is easy to produce but it lacks any kind of formal grounding
used in the Semantic Web.

On the other hand Semantic Web complements the described bottom-up
effort of the Web 2.0 community in a top down manner as one of its
central points is a fixed vocabulary, typed relations and a stronger
knowledge representation based on some kind of ontology. Such
structure is typically something users have in mind when they
provide their information. But for researcher it is hidden in the
data and needs to be extracted. Techniques to analyze network
structures or weak knowledge representations like those found in the
Web 2.0 have a long tradition in different other disciplines, like
Social Network Analysis, machine learning or data mining. These
kinds of automatic mechanisms are necessary to extract the hidden
information and to reveal the structure in a way that the Semantic
Web community can benefit from it, and thus the end user. On the
other hand can the established way to represent knowledge gained
from the unstructured data be beneficial for the Web 2.0 in that it
provides Web 2.0 users with enhanced Semantic Web features to
structure their data.

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The Program Committee:
   * Bettina Berendt, (Humboldt University Berlin, Germany),
   * Ulrik Brandes (University of Konstanz, Germany),
   * Ciro Cattuto, (University of Roma La Sapienza, Italy),
   * Harith Alani (University of Southampton, UK),
   * Péter Mika, (Free University Amsterdam, Netherlands),
   * Harald Sack (University of Jena, Germany),
   * Christoph Schmitz, (University of Kassel, Germany),
   * Sergej Sizov, (University of Koblenz-Landau, Germany),
   * Gerd Stumme (University of Kassel, Germany),
   * to be extended


-- 
Dr. Bettina Hoser
Informationsdienste und elektronische Märkte
Fakultät für Wirtschaftswissenschaften
Universität Karlsruhe (TH)
D-76128 Karlsruhe

Gebäude 20.20 RZ (Raum 164), Zirkel 2

Telefon: +49.721.608-8407
Telefax: +49.721.608-8403

[log in to unmask]
http://www.em.uni-karlsruhe.de

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