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Supporting Resource-based Learning on the Web using automatically extracted Large-scale Taxonomies from multiple Wikipedia Versions

Author:Renato Domínguez García, Philipp Scholl, Christoph Rensing
Date:December 2011
Kind:In proceedings - use for conference & workshop papers
Publisher:Lecture Notes in Computer Science
Book title:Proceedings of 10th Intl. Conf. on Web-based Learning (ICWL'11)
Editor:Howard Leung, Elvira Popescu, Yiwei Cao, Rynson Lau, Wolfgang Nejdl
Number of characters:16476
Research Area(s):Knowledge Media
Abstract:CROKODIL is a platform for the support of collaborative resource-based learning with Web resources. It enables the building of learning communities in which learners annotate their relevant resources using tags. In this paper, we propose the use of automatically generated large-scale taxonomies in di fferent languages to cope with two challenges in CROKODIL: The multilingualism of the resources, i.e. web resources are in di fferent languages and the connectivity of the semantic network, i.e. learners do not tag resources on the same topic with identical tags. More speci fically, we describe a set of features that can be used for detecting hyponymy relations from the category system of Wikipedia.
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