Statement-Based Semantic Annotation of Media Resources

  • Authors:
  • Wolfgang Weiss;Tobias Bürger;Robert Villa;P. Punitha;Wolfgang Halb

  • Affiliations:
  • Institute of Information Systems, JOANNEUM RESEARCH Forschungsges. mbH, Graz, Austria;Semantic Technology Institute (STI), Innsbruck, Austria;University of Glasgow, UK;University of Glasgow, UK;Institute of Information Systems, JOANNEUM RESEARCH Forschungsges. mbH, Graz, Austria

  • Venue:
  • SAMT '09 Proceedings of the 4th International Conference on Semantic and Digital Media Technologies: Semantic Multimedia
  • Year:
  • 2009

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Abstract

Currently the media production domain lacks efficient ways to organize and search for media assets. Ontology-based applications have been identified as a viable solution to this problem, however, sometimes being too complex for non-experienced users. We present a fast and easy to use approach to create semantic annotations and relationships of media resources. The approach is implemented in the SALERO Intelligent Media Annotation & Search system. It combines the simplicity of free text tagging and the power of semantic technologies and by that makes a compromise in the complexity of full semantic annotations. We present the implementation of the approach in the system and an evaluation of different user interface techniques for creating annotations.