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Architecture of an Intelligent Tutoring System Applied to the Breast Cancer Based on Ontology, Artificial Neural Networks and Expert Systems

Authors:
Henrique P. Maffon
Jairo S. Melo
Tamara A. Morais
Patrycia B. Klavdianos
Lourdes M. Brasil
Thiago L. Amaral
Gloria M. Curilem

Keywords: Intelligent Tutoring System; Expert System; Artificial Neural Network; Ontology

Abstract:
This paper presents an Intelligent Tutoring System (ITS) applied to the teaching of breast anatomy and pathology, more specifically of the breast cancer, the type of cancer that kills more women in the world. This paper aims to elucidate the importance of using these systems, lift requirements for the development and designing of an architecture of ITS. Through resources and applications of Artificial Intelligence techniques this ITS has the capacity to acquire the profile of its user and define teaching methodologies to build interactive and dynamics environments, based including in the use of Virtual Reality. The architecture of this ITS consist on four modules: Tutor Module (Artificial Neural Network), Student Module (Expert System), Domain Module (Ontology) and Interface Module (Adaptive Hypermedia Systems). The use of this ITS provides a didactic help to students and health professionals to the understanding of the explanations and practical applications needed to this domain of knowledge.

Pages: 210 to 214

Copyright: Copyright (c) IARIA, 2013

Publication date: February 24, 2013

Published in: conference

ISSN: 2308-4138

ISBN: 978-1-61208-250-9

Location: Nice, France

Dates: from February 24, 2013 to March 1, 2013