CFP for KES2002 Special Session : "Classification in Knowledge-Based Systems"

From: Colette Faucher (colette.faucher@wanadoo.fr)
Date: Sun Nov 11 2001 - 16:11:38 MET

  • Next message: Colette Faucher: "CFP for KES2002 Special Session "Classification in Knowledge-Based"

    6th International Conference on
    Knowledge-Based Intelligent Information Engineering Systems & Allied
    Technologies
    16, 17 & 18 September 2002, Podere d'Ombriano, Crema, Italy

    Special Session
    Classification in Knowledge-Based Systems

     

    Topic :
    This session aims at studying methods of classification in the
    framework of knowledge-based systems.
    Traditionally, classes involved typically have a hierarchical
    organization where the subclasses have discriminating features from
    the superclasses. Classification is then a top-down process during
    which the system tries to match data to classify with classes at each
    level of the hierarchy until the matching is not satisfying any more.
    Another way of viewing classification is Clancey's one who has defined
    heuristic classification as a problem solving method which consists in
    establishing a relation between data that are associated with a
    specific problem and solutions already defined and present in a
    knowledge base. Heuristic classification is composed of three steps :
    - a data abstraction step, which transforms the data that describe the
    problem into data abstractions, by possibly using rules,
    - a heuristic matching step during which the previous data are
    associated with a generic hypothesis,
    - a step which allows to specialize the solution hypothesis and where
    the data concerning the problem are used to refine this hypothesis.

    Some "classical" classification systems adopt an hybrid approach by
    using heuristic components.

    Contributions to this session are expected to deal with those two
    views of the classification process :
    - for the classical approach to classification, sub-topics of interest
    would be : new methods of matching using prior knowledge, new
    strategies for exploring hierarchies in order to classify data,
    particular types of knowledge representation which allow to refine the
    matching step, etc…
    - for the heuristic approach to classification, sub-topics of interest
    would be : new methods for generalizing specific data, definition of
    innovating heuristic matching methods, improvement of the refining
    step, etc…

    The previous list is not exhaustive, provided that the contributions
    are relevant to the topic description.

    Both theoretical papers and papers describing practical experiences
    will be welcome.

    Instructions for Authors :

    Only electronic copies of the papers in Microsoft Word, PDF or
    Postscript forms are acceptable for review purposes and must me sent
    to the session chair. However, please note that you will be required
    to send hard copy of the final version of your paper, if it is
    accepted; electronic submission of final papers is not allowed.
     
    Papers must correspond to the requirements detailed in IOS
    Instructions for the Preparation of a Camera-Ready Manuscript. The
    maximum length of papers is five pages, prepared according to the IOS
    instructions. Longer papers will be subject to an Additional Page
    charge.

    All papers must be presented by one of the authors, who must pay fees.
     

    Publication :
    The session papers will be published in the Conference Proceedings
    (IOS Press, Amsterdam, the Netherlands).

    Extended versions of selected papers will be considered for
    publication in the KES Journal (International Journal of
    Knowledge-Based Intelligent Engineering Systems).

    Important Dates :
    Deadline for submission intention : December 15, 2001
    Deadline for submission (Receipt of papers) : February 10, 2002
    Notification of acceptance : April 10, 2002
    Camera-ready papers by : May 10, 2002

     
    Session Chair :
    Dr. Colette Faucher
    Associate Professor of Computer Science
    Université d'Aix-Marseille III
    Faculté des Sciences de Saint-Jérôme
    DIAM-IUSPIM
    Avenue Escadrille Normandie-Niemen
    13397 Marseille Cedex 20
    FRANCE
    Phone : (+33) 4 91 05 60 58
    Fax : (+33) 4 91 05 60 33
    E-mail : colette.faucher@iuspim.u-3mrs.fr or
    colette.faucher@wanadoo.fr
    Website of the session :
    http://perso.wanadoo.fr/colette.faucher/kes2002-classification.html

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