Fuzziness and Semantic Web Technologies in Personalized eLearning
Marek Reformat, Patricia Boechler
Available Online August 2013.
- https://doi.org/10.2991/eusflat.2013.121How to use a DOI?
- eLearning fuzziness ontology and RDF tagging and blogging personalization
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
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 - 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13) PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/eusflat.2013.121 DO - https://doi.org/10.2991/eusflat.2013.121 ID - Reformat2013/08 ER -