-------- Original-Nachricht -------- Betreff: [isworld] CFP: Semantic Technologies for User Modeling and Adaptation Datum: Fri, 21 Nov 2008 20:26:29 -0500 Von: Alfred Kobsa kobsa@uci.edu Antwort an: Alfred Kobsa kobsa@uci.edu An: AISWORLD Information Systems World Network isworld@lyris.isworld.org
************************************************************************* 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
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).
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