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ARTIFICIAL INTELLIGENCE, LEARNING OBJECTS AND DUBLIN CORE STANDARDS

ARTIFICIAL INTELLIGENCE, LEARNING OBJECTS AND DUBLIN CORE STANDARDS,Raymundo Carlos,Machado Ferreira,Nilo Cesar Consoli,Rosa Maria Vicari,Fernando Sch

ARTIFICIAL INTELLIGENCE, LEARNING OBJECTS AND DUBLIN CORE STANDARDS  
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This article describes the project and execution of several activities concerned to knowledge structure involving Geotechnical Engineering, a Civil Engineering area. It proposes ontology to develop a conceptual model and a knowledge basis that will be used in a Intelligent Tutor System. To model the knowledge basis, the API Java called Protégé-2000 developed by Stanford Medical Informatics at the Stanford University School of Medicine (California, United States) research group was chosen. Within this knowledge basis there is a variety of educational facilities described through Dublin Core metadata. The proposed architecture to this application is composed by communication agents FIPA-OS, database server MySQL, J2SE and Jakarta Tomcat container. The project is integrated by Multimedia and Distance Learning Core of UFRGS (NMEAD) and Artificial Intelligence and Educational Technologies (IATE) research group. The first results of the proposed knowledge structure will be shown in this article.
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