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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 the Semantic Web
* SNA in Semantic Web
* Social Semantic
Networks or Semantic Web in Social environments
For more details 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.
* Short position papers, up
to 6 pages, in any of the topics of
interest of the workshop.
All
submissions must be sent to the workshop contact address:
semnet2007
<at>
cs.uni-kassel.de
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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 users 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 the 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, and thus provide added value to
the
end user. On the other hand the established way to
represent
knowledge gained from the unstructured data can 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:
* Harith Alani (University of Southampton, UK),
*
Bettina Berendt, (Humboldt University Berlin, Germany),
* Ulrik Brandes
(University of Konstanz, Germany),
* Ciro Cattuto, (University of Roma La
Sapienza, Italy),
* Scott Golder, (HP Labs),
* 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
--
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Andreas
Hotho Tel.: +49-(0)561-804-6252
Universitaet Kassel Fax.:
+49-(0)561-804-6259
Wilhelmshoeher Allee 73 mail: hotho@xxxxxxxkassel.de
34121
Kassel www: http://www.kde.cs.uni-kassel.de/hotho/
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