Knowledge Processing and Contextualisation by Automatical Metadata Extraction and Semantic Analysis

Authors:
Wolfgang Reinhardt;Christian Mletzko;Benedikt Schmidt;Johannes Magenheim;Tobias Schauerte
Affiliations:
Institute of Computer Science, University of Paderborn, Paderborn, Germany 33102;Institute of Computer Science, University of Paderborn, Paderborn, Germany 33102;Institute of Computer Science, University of Paderborn, Paderborn, Germany 33102;Institute of Computer Science, University of Paderborn, Paderborn, Germany 33102;Institute of Computer Science, University of Paderborn, Paderborn, Germany 33102
Venue:
EC-TEL '08 Proceedings of the 3rd European conference on Technology Enhanced Learning: Times of Convergence: Technologies Across Learning Contexts
Year:
2008

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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.