Fuzziness and Semantic Web Technologies in Personalized eLearning (original) (raw)
Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13)
Authors
Marek Reformat, Patricia Boechler
Available Online August 2013.
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/).
Cite this article
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 -