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 th= e 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 woul= d 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=8A - - for the heuristic approach to classification, sub-topics of interest woul= d be : new methods for generalizing specific data, definition of innovating heuristic matching methods, improvement of the refining step, etc=8A 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 o= f 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 Universit=E9 d'Aix-Marseille III Facult=E9 des Sciences de Saint-J=E9r=F4me 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 : [EMAIL PROTECTED] or [EMAIL PROTECTED] Website of the session : http://perso.wanadoo.fr/colette.faucher/kes2002-classification.html
