TEXT MINING AND INFORMATION RETRIEVAL

Special issue of the Canadian Journal of Information and Library Science

GUEST EDITORS

– Dominic Forest (Universit� de Montr�al, Canada)
– Lyne Da Sylva (Universit� de Montr�al, Canada)

THEME

The guest editors of this special issue of the Canadian Journal of
Information and Library Science invite original research from all
disciplines reporting on various aspects of the integration of text mining
techniques within information retrieval applications. This includes, but is
not limited to:

– developing text mining strategies within an information retrieval context
– evaluating text mining operations for information retrieval
– identifying contexts for text mining (thematic analysis, management of
digital libraries, information extraction and visualization, knowledge
extraction, cross-linguistic information retrieval, etc.)

Text mining approaches described in the papers may be based on numerical or
linguistic techniques, or both. Special attention should be given to the
description and evaluation of the information retrieval system where the
text mining techniques are embedded, where applicable. Applications
described in the papers can be academic prototypes or commercial software.

Manuscripts will undergo the normal double-blind review process for
submissions to CJILS.

THE JOURNAL

The Canadian Journal of Information and Library Science , established in
1976, is the official journal of the Canadian Association for Information
Science. Its objective is to promote the advancement of information science
in Canada.

LANGUAGE

Submissions are accepted in either English or French.

IMPORTANT DATES (TO BE CONFIRMED)

– January 15, 2009 : Submission deadline
– March 15, 2009 : First decision of the reviewers
– May 15, 2009 : Final version due
– June 15, 2009 : Final decision of reviewers
– August 2009 : Publication

SUBMISSION

Please send your manuscript (Word or RTF) to:

Dominic Forest
�cole de biblioth�conomie et des sciences de l’information
Universit� de Montr�al
C.P. 6128, succursale Centre-ville
Montr�al (Qu�bec) H3C 3J7

E-mail : dominic.forest@umontreal.ca

Instructions for authors are available on-line on the journal website
(http://www.cais-acsi.ca/journal/guidelines.htm).

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