Visualizing Topic Maps for e-Learning
ICALT '05 Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies
Semi-automatic ontology extraction to create draft topic maps
ACM-SE 45 Proceedings of the 45th annual southeast regional conference
Using Wikipedia technology for topic maps design
ACM-SE 45 Proceedings of the 45th annual southeast regional conference
Helping Courseware Authors to Build Ontologies: The Case of TM4L
Proceedings of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work
A case for polyscopic structuring of information
TMRA'05 Proceedings of the First international conference on Charting the Topic Maps Research and Applications Landscape
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In this paper we examine some problems related to capturing the structure and the topic name space of learning content in the context of Topic Map authoring. We demonstrate that the use of traditional course taxonomies as ontological resources is problematic. Based on these findings and on the results of a locally conducted study, we propose an empirically justified minimal ontology for Topic Maps-based e-Learning. The proposed minimal set contains five relation types and is implemented in the TM4L Editor to support authors that experience difficulties in articulating and naming relationships.