Topic Maps e XTM per l’e-learning

Giovanni Adorni, Mauro Coccoli, Gianni Vercelli, Giuliano Vivanet

Abstract


Topic Maps are a methodology whose aim is describing knowledge structures and associating them with information resources. XML Topic Maps (XTM) is an XML-based encoding scheme to represent topic maps and similar knowledge structures (e.g. semantic networks, associative networks, concept maps, mind maps, etc.).
In this paper Topic Maps and XTM are proposed as a knowledge representation system to be exploited in e-learning environments for a suited integration with semantic web technologies. They may be a useful tool to facilitate the design of learning contents and their delivery in diverse contexts. After a short survey of the Topic Maps standardization process, in this paper key elements and characteristics of TM and XTM paradigm are described. Then it is briefly discussed about Topic Maps applications in e-learning context and also a short survey of related works is presented.

Keywords


Topic Maps; XTM; semantic web, e-learning; learning objects; learning design

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DOI: https://doi.org/10.20368/1971-8829/756



Journal of e-Learning and Knowledge Society | ISSN (online) 1971 - 8829 | ISSN (paper) 1826 - 6223 © 2017 Je-LKS - Italian e-Learning Association (SIe-L).