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. © 2008 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Reinhardt, W., Mletzko, C., Schmidt, B., Magenheim, J., & Schauerte, T. (2008). Knowledge processing and contextualisation by automatical metadata extraction and semantic analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5192 LNCS, pp. 378–383). https://doi.org/10.1007/978-3-540-87605-2_42
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