Fuzziness and Semantic Web Technologies in Personalized eLearning
Marek Reformat, Patricia Boechler · 2013
The rapid development of information technologies has created suitable environment for construction of eLearning systems.The pivotal point of those systems lies in web technologies.Due to those technologies eLearning leads to a number of improvements in: delivery, access, distributed authority, and personalization, when compared with traditional training.Additionally, integration of fuzziness with processes of customization and selection of adequate material for the user creates a chance to built truly personalized and adaptive systems.The paper presents an overview of an architecture of eLearning and its basic component -eLerning Engine -taking a full advantage of ontology, tagging, and users' feedback represented with linguistic descriptors and quantifiers.