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CFP: Workshop on Social Web Content Filtering and Semantic Web

From: Fumihiro Kato <fumihiro@sfc.keio.ac.jp>
Date: Wed, 02 Feb 2005 12:14:45 +0900
Message-ID: <d7ek6prk5zu.wl%fumihiro@sfc.keio.ac.jp>
To: semantic-web@w3.org, www-rdf-interest@w3.org

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Workshop on Social Web Content Filtering and Semantic Web (SWCF2005)
at 14th International World Wide Web Conference (WWW2005)

10 May 2005, Chiba, Japan 

Important Dates:
Electronic submission due: March 18, 2005
Author notification: April 1, 2005
Workshop: May 10, 2005

Topics and Content:
The World Wide Web allows anyone on the network to access
a much wider variety of content than any previous information
distribution mechanism. There are so many Web sites about
every subject imaginable, and about subjects that were entirely
unknown or alien to readers before encountering them in the Web.
The inclusive nature of the World Wide Web can complicate
effective site navigation and bring users in contact with 
materials they find offensive or inappropriate. Content filtering
is an information seeking process in which contents are selected
to satisfy a relatively stable and specific information need.
There are two dominant approaches to tackle the problem of
content filtering: content-based filtering and social information
filtering. Content based filtering has limitation and social
information filtering is developed as a complementary technique
to address the limitations. Social information filtering finds
potentially interesting contents by taking account of other
people with similar taste.

People can share their taste on the Semantic Web by using RSS,
shared bookmark and so on. Although individual information about
their taste in traditional social information system are closed 
and centralized, social information filtering on the Semantic Web
is so open and widely distributed. Also existing techniques are
suffering from low quality results with errors, lack of accountability
of results, relatively low speed processing and tyranny of the majority,
we believe to explore new technology to find out the contents we really
want and need getting rid us of the contents we do not want to be
bothered with. This new technique allows us to improve navigation,
personalize search engine results and make Web spaces safer.
In order to archive this, for example new reasoning or inference
techniques and high performance distributed queries will be needed.
Among the specific topic areas we intend to address are, but not
limited to the following:

* New framework for specifying and reasoning about metadata
  on the Semantic Web
* New statistical or probabilistic reasoning techniques
  for social information filtering on the Semantic Web
* Novel social information filtering architecture and
  techniques on the Semantic Web 
* Privacy in social information filtering on the Semantic Web
* Dissemination of meta-data for information filtering
  on the Semantic Web
* Novel techniques to harmonize existing standards
  (e.g., RSS, Dublin Core) with social information filtering
* Application of social information filtering
  (e.g., personal navigation and search engine)

Paper Submission and Review:
Papers should be submitted via email to the workshop chair
at swcf2005@tom.sfc.keio.ac.jp. Papers submitted to the
workshop will undergo a peer review process overseen by
the workshop co-chairs. Each paper will be reviewed by at
least two program committee members. Accepted papers will
appear in informal electronic and printed proceedings that
will be made available after (or before) the workshop.

Papers should not exceed 5000 words (approximately 12 pages)
in length and must be submitted in PDF. Short papers (up to
6 pages) describing early research results are also welcome.

Workshop Co-Chairs:
Kazuhiro Kitagawa, Keio University/W3C
Nobuo Saito, Keio University/W3C
Akio Kokubu, Internet Association, Japan

Workshop Program Committee:
Francois Bry, The University of Munich
Michel Plu, France Telecom
Phil Archer, ICRA
Nicola Henze, The University of Hannover
Jon Herlocker, Oregon State University
Toshihiro Kamishima, National Institute of AIST
Shyong K. Lam, University of Minnesota
Fumihiro Kato, Keio University
Received on Wednesday, 2 February 2005 03:14:50 UTC

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