------------------------------------------------------------------ Special Issue of IP&M: Bayesian Networks and Information Retrieval ------------------------------------------------------------------
--------------- Call for Papers --------------- Special Issue of Information Processing and Management on BAYESIAN NETWORKS AND INFORMATION RETRIEVAL -- INFORMATION FOR THE UAI COMMUNITY -- Since the very first studies about the application of Belief Networks to Information Retrieval, a great number of researchers have been developing successful retrieval models based on these graphical models until nowadays, as well as solutions to specific problems found in this field. Taking into account that these tools show a high performance in problems in which uncertainty is a very important feature, Information Retrieval is presented as a very attractive test bed because it is strongly pervaded by this property, presenting very interesting challenges that classical solutions have not solved at all. This Special Issue of Information Processing and Management aims at resenting a landmark set of research papers which show the best research in the field on different aspects of the application of Belief Networks to Information Retrieval, not only focused to the classical retrieval, but also dealing with solutions to current subfields as Structured Documents, Cross-Language Information Retrieval or new technologies as MPEG-7, among others, where an intensive research is being carried out. Suggested topics include, but are not limited to: * Information Retrieval Models applied to classical document collections. * Information Retrieval Models for structured document collections based on SGML, XML, etc. * Cross-language retrieval. * Document classification, clustering and filtering. * Web retrieval. * Applications to hypertext. * Indexing and summarization. * Multimedia information access, as video, audio, image retrieval, also applied to new technologies as MPEG-7 videos. Submissions should follow the style stipulated in the Guide for Authors prepared by "Information Processing and Management" (http://www.elsevier.nl/locate/infoproman) but should be submitted in electronic form to Juan M. Fern�ndez-Luna, one of the guest editors listed below: Special Issue Editors: Luis M. de Campos University of Granada (Spain) [EMAIL PROTECTED] Juan M. Fern�ndez-Luna University of Ja�n (Spain) [EMAIL PROTECTED] Juan F. Huete University of Granada (Spain) [EMAIL PROTECTED] If any researcher is interesting in submitting a paper, please, send an e-mail to Juan Manuel Fern�ndez-Luna to establish a submmission date. Also, the redistribution of this call for paper is appreciated. -- Juan Manuel Fern�ndez Luna -------------------------------------------------------------------- Departamento de Ciencias de la Computaci�n e Inteligencia Artificial Escuela T�cnica Superior de Ingenier�a Inform�tica Universidad de Granada -------------------------------------------------------------------- C/ Periodista Daniel Saucedo Aranda, s/n, 18071, Granada, Espa�a ---------------------------------------- Tel�fono: + 34 958 240465, Fax: + 34 958 243317 ---------------------------------------- [EMAIL PROTECTED] http://decsai.ugr.es/~jmfluna
