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JACIII Vol.11 No.1 pp. 40-50
doi: 10.20965/jaciii.2007.p0040
(2007)

Paper:

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FzMail: Using FIS-CRM for E-mail Classification

Francisco P. Romero*, José A. Olivas*, and Pablo J. Garcés**

SMILe-ORETO Research Group (Soft Management of Internet e-Laboratory)

*Department of Information Systems and Technologies, Escuela Superior de Informática, Universidad de Castilla La Mancha, Paseo de la Universidad 4, 13071-Ciudad Real, Spain

**Department of Computer Science and Artificial Intelligence, Universidad de Alicante, Carretera San Vicente del Raspeig s/n, 03080 - Alicante, Spain

Received:
October 31, 2005
Accepted:
March 31, 2006
Published:
January 20, 2007
Creative Commons License
Keywords:
soft computing, e-mail classification, document clustering, concept representation model, disambiguation
Abstract
In this work a brief summary of FIS-CRM (Fuzzy Interrelations and Synonymy Conceptual Representation Model) and its application to intelligent e-mail management are presented. FzMail tool is based on a soft computing methodology for automatic classification of the mailbox into a fuzzy and hierarchical structure of groups of “conceptually related” messages. FIS-CRM is used to conceptually represent messages and it is also used in the process carried out to deal with the incoming messages in order to keep the achieved conceptual organization. The aim is to make an optimum exploitation of the concepts contained in these messages possible. Therefore, we apply Fuzzy Deformable Prototypes for the document clusters representation. The effectiveness of the method has been proved by applying these techniques in an IR system. The documents considered are composed by a set of e-mail messages produced by some distribution lists about different subjects and languages.
Cite this article as:
F. Romero, J. Olivas, and P. Garcés, “FzMail: Using FIS-CRM for E-mail Classification,” J. Adv. Comput. Intell. Intell. Inform., Vol.11 No.1, pp. 40-50, 2007.
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