ECML/PKDD Graph labelling workshop and Web Spam Challenge Track II

"Carlos Castillo" <chato-ZXvpkYn067l8UrSeD/[email protected]> Thu, 07 Jun 2007 08:14:19 -0000
Newsgroups gmane.comp.information-retrieval.webir
Message-ID <[email protected]>
2nd Call for Papers
ECML/PKDD Graph Labelling Workshop - Web Spam Challenge

Warsaw, Poland
17-21 September 2007

* * *

GRAPH LABELLING WORKSHOP

The workshop is focused on the thematic of graph labelling whose goal
is to automatically learn to label the nodes of a graph given a known
partially labelled graph. The workshop is opened to any submission
concerning theoretical models or large size applications of graph
labelling with a particular focus on internet graphs. 

A special session of the workshop will be devoted to the part 2 of the
Web Spam challenge organized with the support of the Pascal Network of
Excellence. This challenge focuses on a specific graph labelling
problem: detect malicious pages (web spam pages) on a large web graph. 

The description of the workshop is given in the Web page :
http://graphlab.lip6.fr 

The description of the Web Spam Challenge is given in the Web page 
http://webspam.lip6.fr

TOPICS

Theoretical or experimental research papers representing original,
previously unpublished works, are invited to be submitted to the
workshop (with a page limit of up to 8 pages). Positioning papers
describing current research are also welcome, as well as, opinion
papers discussing Graph Labelling models or applications. 

Graph labelling is a generic task with several applications in many
different domains. The topics include, but are not limited, to:

* Generic graph labelling models 
* Graph Diffusion 
* Tree annotation models - XML annotation 
* Models for large graphs 
* Web spam detection 
* Wiki, Blog, Web retrieval 
* Web classification and clustering 
* Social networks 
* Collaboration and citation graphs 
* Web Spam Challenge

Participants to the workshop are also encouraged to participate in the
Web Spam Challenge organized within the Pascal Network of Excellence.
This competition features a key application, Web Spam detection where
the goal is to label the nodes (the Web pages or Web hosts) of a graph
as spam or not spam.

In order to help ML researchers to participate to this challenge, the
organizers of the workshop will provide pre-processed collections
(available on the webspam website). Corpora of different sizes will be
made available ranging from small ones (about 1000 nodes) up to large
ones (around 1 million nodes). The different collections will be
distributed in data formats such as plain text and Matlab data files.
This will allow to easily set-up the testing of different types of ML
models applied to this task. 

PAPER SUBMISSIONS

The papers must be in English, formatted according to the Springer
LNAI guidelines. Papers in this format should not exceed 8 pages. 

IMPORTANT DATES - WORKSHOP

* Paper submission : June 30th 
* Paper acceptance notification : July 21st 
* Paper camera ready copy : July 28th 
* Workshop in Warsaw, Poland : Monday, September 17th 

IMPORTANT DATES - WEB SPAM CHALLENGE

* Training collections : June 4th
* Testing collections : July 9th 
* Submission of the results by the participants and a one page paper
describing the method used : July 11th 
* Publication of the results : July 12th 
* Workshop in Warsaw, Poland : Monday, September 17th 

PROGRAM COMMITTEE

Kumar Chellapilla - Microsoft Research 
Brian D. Davison - Lehigh University 
Ludovic Denoyer - University of Paris 6 
Dennis Fetterly - Microsoft 
Patrick Gallinari - University of Paris 6 
Remi Gilleron - University Lille 3 
Marco Gori - DII-University of Siena 
Mark Herbster - University College London 
Massimiliano Pontil - University College London 
Juho Rousu - University of Helsinki 
John Shawe Taylor - University College London 
Alessandro Sperduti - University of Padova 
Tanguy Urvoy - France Telecom Research 

ORGANIZATION COMMITTEE

Carlos Castillo - Yahoo! Research 
Brian D. Davison - Lehigh University 
Ludovic Denoyer - LIP6 University of Paris 6 
Patrick Gallinari - LIP6 University of Paris 6