[Fwd: [WI] CFP: Special Session on Mining of Social Media @ SAMT 2008] - Cfp

27 May 2008


      -------- Original-Nachricht --------
Betreff: 	[WI] CFP: Special Session on Mining of Social Media @ SAMT 2008
Datum: 	Tue, 27 May 2008 14:11:56 +0200
Von: 	Andreas Hotho hotho@cs.uni-kassel.de
An: 	wi@aifb.uni-karlsruhe.de, ak-kd-list@aifb.uni-karlsruhe.de, 
kdml@cs.uni-kassel.de, fg-db@informatik.uni-rostock.de, 
fca-list@cs.uni-kassel.de
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*          SAMT 2008 - CALL FOR RESEARCH PAPERS               *
*                                                             *
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*        *SPECIAL SESSION ON MINING OF SOCIAL MEDIA*          *
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*                                                             *
*            3rd International Conference on                  *
*        Semantics And digital Media Technologies             *
*           Koblenz, Germany, 3-5 December 2008               *
*                                                             *
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            In cooperation with GI, ACM, IEEE, and Eurographics.
Highly popular user-centered applications such as Blogs, Wikis,
social bookmarking, photo and video tagging systems have come to be
known as "Web 2.0". The reason for their immediate success is the
fact that usability is becoming higher due to the implementation of
new web 2.0 services. Web 2.0 sites generate large sets of weakly
structured meta data. However, these data lack a formal grounding as
given in the Semantic Web. The combination of both Web 2.0 and
Semantic Web seems to be natural, but needs more work to bridge the
semantic gap between both approaches.
Techniques to analyze network structures or weak knowledge
representations like those found in the Web 2.0 have a long
tradition in different disciplines, like Social Network Analysis,
Machine Learning or Data Mining. Automatic approaches are necessary
to extract the hidden information from the Web 2.0 applications, and
to reveal the structure in a way that the Semantic Web community can
benefit from it, with the final aim to support the end user. Using
established methods to represent knowledge gained from the
unstructured data will be beneficial for the Web 2.0 in that it
provides Web 2.0 users with enhanced Semantic Web features to
structure their data.
For this special session, we invite contributions with a special
focus on the analysis of data from any kind of web 2.0 application,
including Wikis, Blogs, Social Bookmarking Systems, and social
online communities. The central goal is to reveal the structure
which is hidden in the data by applying data mining, machine
learning, or social network analysis methods.
Topics:
-------
* Network analysis and social structures detection in Web 2.0 systems
* Ontology learning on and in the Web 2.0
* Discovering (cross system) associations, large social networks and
   communities
* Predicting trends and user behavior (e.g. misuse and fraud/spam)
* Multimedia analysis; audio/visual processing; aggregating
   information from different modalities
For more information please visit the conference web site:
http://samt2008.uni-koblenz.de/index.php?page=calls_papers
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Important Dates
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Abstract Submission:  June 6
  Paper Submission:     June 13
  Notification:         August 22
  Camera Ready:         September 15
  Conference:           December 3-5
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Organizing Committee
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General & local chairs:
   Dietrich Paulus, Koblenz, DE
   Steffen Staab, Koblenz, DE
   samt-chairs@uni-koblenz.de
Program chairs:
   Lynda Hardman, CWI, NL
   Alex Hauptmann, CMU, US
   David Duke, Leeds, UK
   samt-program-chairs@uni-koblenz.de
Demo & poster chairs:
   Michela Spagnuolo, Genova, IT
   Siegfried Handschuh, DERI, IE
   samt-poster-demo-chairs@uni-koblenz.de
Workshop & tutorial chairs:
   Fabio Ciravegna, U. Sheffield, UK
   David Duce, Oxford Brookes, UK
   samt-workshop-chair@uni-koblenz.de
Publicity chair:
   Marcin Grzegorzek, Koblenz, DE
   samt-publicity-chair@uni-koblenz.de
Registration chair:
   Ruth Götten, Koblenz, DE
   samt2008@uni-koblenz.de
Special Session chairs:
   Thomas Wittenberg, FhG Erlangen, DE, wbg@iis.fhg.de
   Andreas Hotho, Univ Kassel, DE, hotho@cs.uni-kassel.de
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