Abstract
The third project of the MoKEx project series focused on organisational issues that arise in the context of blended learning scenarios and knowledge management. We developed MetaXsA (Metadata Extraction and semantic Analysis) - a module that analyses given knowledge assets and returns a metadata file, which is stored in a global metadata database. This paper gives an introduction to MetaXsA and the surrounding Single Point of Information architecture.
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Reinhardt, W., Mletzko, C., Schmidt, B., Magenheim, J., Schauerte, T. (2008). Knowledge Processing and Contextualisation by Automatical Metadata Extraction and Semantic Analysis. In: Dillenbourg, P., Specht, M. (eds) Times of Convergence. Technologies Across Learning Contexts. EC-TEL 2008. Lecture Notes in Computer Science, vol 5192. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87605-2_42
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DOI: https://doi.org/10.1007/978-3-540-87605-2_42
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-87604-5
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