Discovery of Ontologies for Learning Resources using Word-based Clustering
Christos Papatheodorou, Ionian University, Dept. of Archive and Library Sciences, Greece ; Alexandra Vassiliou, NCSR "Demokritos", Greece ; Bernd Simon, ViennaUniversity, Austria
EdMedia + Innovate Learning, in Denver, Colorado, USA ISBN 978-1-880094-45-7 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC
Educational intermediaries are information systems that support the exchange of learning resources among dispersed users. The selection of the appropriate learning resources that cover specific educational needs requires a concise interaction between the user and system. This paper describes a data mining process for the discovery of ontologies from learning resources repositories. Ontologies express the associations between the learning resources metadata and provide a controlled vocabulary of concepts. Ontologies and the derived vocabularies could be used for the development of taxonomies of learning resources and they contribute to the sense disambiguation in seeking interesting and appropriate knowledge.
Papatheodorou, C., Vassiliou, A. & Simon, B. (2002). Discovery of Ontologies for Learning Resources using Word-based Clustering. In P. Barker & S. Rebelsky (Eds.), Proceedings of ED-MEDIA 2002--World Conference on Educational Multimedia, Hypermedia & Telecommunications (pp. 1523-1528). Denver, Colorado, USA: Association for the Advancement of Computing in Education (AACE).
© 2002 Association for the Advancement of Computing in Education (AACE)
Cited ByView References & Citations Map
Cat Kutay & Peter Ho, Computer Science and Engineering, The University of New South Wales, Sydney, Australia
International Journal on E-Learning Vol. 4, No. 1 (2005) pp. 21–38
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