Automatic Transformation of Electronic Documents into Reusable Learning Objects: New Approach Based on Artificial Neural Networks

摘要

The aim of this paper is to introduce a new approach which describes an automatic transformation process of electronic flat documents (HTML document for example), into Reusable Learning Objects. Thus, the transformed content can be integrated, within management learning system. Our methodology proposes, firstly, a syntactical transformation of a flat electronic document into well-structured document. It tends secondly, to perform a semantic categorization of each piece of the content into an equivalent type of reusable learning object [4]. Such a semantic categorization is based on the construction of artificial neural networks [5].