Description

In the context of this diploma thesis, the content structure available in the e-learning platform Scholion, i.e. both learning content and communication content, is to be mapped onto topic maps. Topic maps are in turn a standard for the representation of semantic networks. Furthermore, the learning and communication content is to be generated from the topic maps and made available in Scholion. As part of Stefan Oppl's work, a framework for generating, processing and persisting topic maps has already been implemented. Interfaces to the database and to the representation layer of Scholion must now be implemented in order to enable a transformation of the data to topic maps and a representation of the content from the topic maps for Scholion.

Editor

Georg Mayrhauser

Adviser

Assoz. Univ.-Prof. Dipl.-Ing. Dr. Stefan Oppl, MBA

Field of Research

eLearning