Topic Maps e XTM per l'e-learning

VIVANET, GIULIANO
2007-01-01

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 briefl y discussed about Topic Maps applications in e-learning context and also a short survey of related works is presented
2007
Italiano
3
3
51
60
10
Esperti anonimi
scientifica
Topic Maps; XTM; semantic web; e-learning; learning objects; learning design
no
Adorni, G.; Coccoli, M.; Vercelli, G.; Vivanet, Giuliano
1.1 Articolo in rivista
info:eu-repo/semantics/article
1 Contributo su Rivista::1.1 Articolo in rivista
262
4
open
Files in This Item:
File Size Format  
JELKS_0307.pdf

open access

Type: versione editoriale
Size 199.34 kB
Format Adobe PDF
199.34 kB Adobe PDF View/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Questionnaire and social

Share on:
Impostazioni cookie