Sciweavers

Share
ECTEL
2007
Springer

Categorizing Learning Objects Based On Wikipedia as Substitute Corpus

8 years 11 months ago
Categorizing Learning Objects Based On Wikipedia as Substitute Corpus
As metadata is often not sufficiently provided by authors of Learning Resources, automatic metadata generation methods are used to create metadata afterwards. One kind of metadata is categorization, particularly the partition of Learning Resources into distinct subject categories. A disadvantage of state-of-the-art categorization methods is that they require corpora of sample Learning Resources. Unfortunately, large corpora of well-labeled Learning Resources are rare. This paper presents a new approach for the task of subject categorization of Learning Resources. Instead of using typical Learning Resources, the free encyclopedia Wikipedia is applied as training corpus. The approach presented in this paper is to apply the k-Nearest-Neighbors method for comparing a Learning Resource to Wikipedia articles. Different parameters have been evaluated regarding their impact on the categorization performance.
Marek Meyer, Christoph Rensing, Ralf Steinmetz
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where ECTEL
Authors Marek Meyer, Christoph Rensing, Ralf Steinmetz
Comments (0)
books