The Design and Development of Exceptional Representation Based on Domain Ontology and Multi-agent Systems for E-Learning Purposes

E-learning involves the use of digital content in the form of text and multimedia elements that are accessed via hyperlinks and also via browser or search engines. The search engines currently available to the learners are as offered by Acrobat Reader or Google which employ basic search-by-word-matching algorithms and present outputs in linear fashion based on occurrence in the text or arranged hierarchically by popularity or frequency of being accessed. This research aims to improve the meaningfulness of the search results which other systems focused on specifying the context of the search as offered by Yahoo, and the development of the semantic web as in wiki. These methods improve the search results but need further refinements to be truly effective in the e-learning environment. Thus, this study proposes the use of the exceptional representation of learning strategies based on domain ontology and multi-agent systems (MAS).