Fuzziness and Semantic Web Technologies in Personalized eLearning

DOI

10.2991/eusflat.2013.121How to use a DOI?

Keywords

eLearning fuzziness ontology and RDF tagging and blogging personalization

Abstract

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 im- provements in: delivery, access, distributed author- ity, and personalization, when compared with tra- ditional training. Additionally, integration of fuzzi- ness 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, tag- ging, and users’ feedback represented with linguistic descriptors and qunatifiers.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Marek Reformat
AU  - Patricia Boechler
PY  - 2013/08
DA  - 2013/08
TI  - Fuzziness and Semantic Web Technologies in Personalized eLearning
BT  - Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)
PB  - Atlantis Press
SP  - 858
EP  - 865
SN  - 1951-6851
UR  - https://doi.org/10.2991/eusflat.2013.121
DO  - 10.2991/eusflat.2013.121
ID  - Reformat2013/08
ER  -