Abstract
In this paper we describe a method to automatically discover important concepts and their relationships in e-Lecture material. The discovered knowledge is used to display semantic aware categorizations and query suggestions for facilitating navigation inside an unstructured multimedia repository of e-Lectures. We report about an implemented approach for dealing with learning materials referring to the same event in different languages. The information acquired from the speech is combined with the documents such as presentation slides, which are temporally synchronized with the video for creating new knowledge through a mapping with a taxonomy representation such as Wikipedia.
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Fogarolli, A., Ronchetti, M. (2008). Intelligent Mining and Indexing of Multi-language e-Learning Material. In: Tsihrintzis, G.A., Virvou, M., Howlett, R.J., Jain, L.C. (eds) New Directions in Intelligent Interactive Multimedia. Studies in Computational Intelligence, vol 142. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68127-4_41
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DOI: https://doi.org/10.1007/978-3-540-68127-4_41
Publisher Name: Springer, Berlin, Heidelberg
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