2nd CfP for UMUAI Special Issue on Semantic Technologies for User Modeling and Adaptation

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       Semantic Technologies for User Modeling and Adaptation

                        Special Issue of
             User Modeling and User Adapted Interaction:
               The Journal of Personalization Research

           Guest editors: Nicola Henze and Gerd Stumme
       http://www.kbs.uni-hannover.de/~henze/semtech.html

                Extended Deadline: January 31st, 2009

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Recent trends in the semantic web focus on processing the meaning of
information as an additional, rich source for the ultimate goal to
answer information requests with appropriate, best fitting information.
To this end, measurements are required which need to take into account
the specific information request, including the person behind the
request, the personal setting, preferences, and context of the person.

To bring semantic technologies to its full potential, the capturing of
the user's intention, and its modeling and representation in formats
that comply with semantic standards are essential. This special issue of
the User Modeling and User Adapted Interaction journal focuses on best
practices, current research and promising trends for improving user
modeling and adaptation with semantic technologies, and enhancing
semantic technologies and applications with user modeling and adaptation
techniques. Relevant topics of this special issue particularly include
the following ones:

Architectures:
- Architectural solutions for user modeling and adaptation in
semantics-based, cooperative information applications
- User modeling and adaptation in architectures for web services and
semantic web services
- Solutions for merging or bridging multiple adaptive applications

User Models:
- Co-operation between de-centralized user models and user profiles,
    syndication of user profile information
- Semantic representation formats and languages for user intention modeling
- Privacy protection through semantic information
- User awareness and explanation strategies for transparent,
user-controlled user modeling

Personalization Techniques:
- Personalization as value-added services
- Enhancing personalization algorithms with semantic technologies
- Best practices and promising personalization techniques, re-usability,
and semantic descriptions of the personalization process
- User awareness and explanation strategies for transparent,
user-controllable personalization
- Personalized access to semantic web applications
- Personalization strategies in web 2.0

Analysis
- Web mining (content, linkage, usage) and learning for detecting user
intentions
- Analysis of user networks and web communities

Enablers
- Reasoning about semantic information and user demands
- Social nets and web communities for user modeling and adaptation
- Folksonomies, taxonomies and ontologies as enablers of the user
modeling and personalization process

Applications
- Applications demonstrating the power of semantic technologies for
advanced user modeling and adaptation, e.g. personalized semantic
search, the personal semantic desktop, personalized information filter, etc.


Submissions to this special issue need to enhance the state of the art
in both disciplines, semantic web and semantic technologies as well as
user modeling and adaptation. They are requested to bridge disciplines,
e.g. by showing how user modeling and personalization benefits from
semantic technologies, or how user modeling and adaptation techniques
help to realize the semantic web.

How to Submit
Submissions to the special issue should follow the UMUAI formatting
guidelines and submission instructions available at
http://www.umuai.org/paper_submission.html.
Each submission should note that it is intended for the special issue on
Semantic Technologies for User Modeling and Adaptation.

Potential authors are asked to notify by email the guest editors as soon
as possible of their intent to submit an article (see below for the
relevant contact information). Sometime thereafter, but no later than a
month prior to the submission deadline, they should submit a tentative
title and a one-page abstract to allow for feedback and the formation of
a reviewer panel. UMUAI is an archival journal that publishes mature and
substantiated research results on the dynamic adaptation of computer
systems to their human users, and the role that a model of the system
about the user plays in this context. Many articles in UMUAI are quite
comprehensive and describe the results of several years of work.
Consequently, UMUAI gives unlimited space to authors (so long as what
they write is important). Authors whose paper exceeds 40 pages in
journal format (including illustrations and references) are however
requested to supply a short justification upon submission that explains
why a briefer discussion of their research results would not be advisable.

Review Process
Submissions will undergo the normal review process, and will be reviewed
by three established researchers selected from a panel of reviewers
formed for the special issue.


Guest Editors
Nicola Henze
henze@kbs.uni-hannover.de
IVS - Semantic Web Group
Leibniz University Hannover, Germany

Gerd Stumme
stumme@cs.uni-kassel.de
Fachgebiet Wissensverarbeitung
Kassel University, Germany

If you have any questions do not hesitate to ask the guest editors
Nicola Henze (henze@kbs.uni-hannover.de) or Gerd Stumme
(stumme@cs.uni-kassel.de).

-- 
Prof. Dr. Gerd Stumme, Hertie Chair of Knowledge & Data Engineering,
Dept. of Electrical Engineering & Computer Science, University of Kassel
http://www.kde.cs.uni-kassel.de, Tel. 0561/804-6251, Fax: -6259
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Received on Wednesday, 19 November 2008 17:36:00 UTC