Improving search in tele-lecturing: using folksonomies as trigger to query semantic datasets to extract additional metadata

  • Authors:

  • Franka Moritz;Maria Siebert;Christoph Meinel

  • Affiliations:

  • University of Potsdam, Potsdam, Germany;University of Potsdam, Potsdam, Germany;University of Potsdam, Potsdam, Germany

  • Venue:
  • Proceedings of the International Conference on Web Intelligence, Mining and Semantics
  • Year:
  • 2011

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Abstract

Tele-teaching, where recorded lectures are streamed via the internet, was identified as the easiest adoptable method to produce large amounts of e-learning content. Due to the nature of the e-learning material produced, it is lacking searchable data and metadata. Social Web technologies have been identified as one way to overcome this problem, because metadata will be generated by users. But still, the amount of metadata generated that way is not sufficient and the contextual information is missing. This information can be extracted from the Semantic Web, especially from Linked Data initiatives. This paper describes a workflow that utilizes the metadata generated by users to trigger the query of semantic datasets. These datasets are providing additional metadata, that can be extracted via an interface, which is publicly available. Thereby it is possible to supply new search strategies and achieve an extension of the search space for multimedia e-learning data. An extension of an existing search functionality and the similarity detection is finally described.