call for papers


Subject: call for papers
From: Gabriella Pasi (gabriella.pasi@itim.mi.cnr.it)
Date: Tue Dec 12 2000 - 10:39:24 MET


CALL FOR PAPERS

Special Topic Issue of Information Processing & Management on

MODELLING VAGUENESS AND SUBJECTIVITY IN INFORMATION ACCESS

Guest Editors:

Fabio Crestani Gabriella Pasi
University of Strathclyde ITIM-CNR
Glasgow, Scotland Milan, Italy

Information access technologies, like for example Information
Retrieval and Information Filtering, aim at modeling, designing and
implementing systems able to provide fast and effective content-based
access to a large amount of information. Information can be of any
kind: textual, visual, or auditory. The aim of such systems is to
estimate the relevance of documents to a user's information need. This
is a very hard and complex task, since it is pervaded with
subjectivity, vagueness and uncertainty.

Many existing systems offer a simple modeling of the information
access task, which often privileges efficiency at the expenses of
effectiveness. We think that a promising direction to improve
information access effectiveness is to model the subjectivity and
partiality intrinsic in the process, and to make systems more
adaptive, i.e. able to ``learn'' the users' concept of relevance.

Soft Computing is an expression introduced to indicate a synergy of
methodologies useful for solving problems requiring some form of
intelligence that diverts from traditional computing. The principal
constituents of Soft Computing are: fuzzy logics, neural networks,
probabilistic reasoning, evolutionary computing, chaotic computing and
parts of machine learning theory. Soft Computing differs from
conventional (hard) computing in that, unlike hard computing, it is
tolerant of imprecision, uncertainty, partial truth, and
approximation. Because of this properties, Soft Computing can provide
very powerful tools for IR.

TOPICS OF INTEREST:

The guest editors of this special issue of IP&M seek papers presenting
current research on the use of Soft Computing techniques for modelling
the vagueness, subjectivity, and learning in information access.

Specific topics of interest include, but are not limited to, the
following:

Information Retrieval, Information Filtering, Digital Libraries,
Hypermedia, Databases, Text Mining,

where the information access process is modelled and/or managed using
Soft Computing techniques, like for example:

fuzzy logic, neural networks, probabilistic reasoning, genetic
algorithms, multi-valued logics, chaotic computing, belief networks,
machine learning, rough sets, possibility theory.

SCHEDULE:

Call for papers issued: December 5, 2000
Papers due: May 15, 2001
Notifications to authors: July 15, 2001

SUBMISSION PROCESS:

Instructions for submitting a paper: The following are invited: (i)
full length papers reporting original work generally of up to 4000
words; (ii) brief communications of original work or work in progress
of up to 1200 words; (iii) book reviews and critical literature
reviews. Two copies of the manuscript must be sent to each guest
editor (4 copies in all) at the addresses listed below. Include a
title page with the article's title, the contact author's name,
affiliation, address, telephone and FAX numbers, and e-mail address.
For more details refer to the ``Instructions to contributors''
included in each issue of Information Processing and Management.
Papers submitted to this Special Issue are subject to the usual IPM
peer review.

Fabio Crestani
Department of Computer Science
University of Strathclyde
26 Richmond Street
Glasgow G1 1XH, Scotland, UK
email: fabioc@cs.strath.ac.uk
 

Gabriella Pasi
ITIM - CNR
Via Ampere, 56
20131 Milano, Italy
email: gabriella.pasi@itim.mi.cnr.it

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