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Statement-Based Semantic Annotation of Media Resources

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Semantic Multimedia (SAMT 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5887))

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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.

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© 2009 Springer-Verlag Berlin Heidelberg

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Weiss, W., Bürger, T., Villa, R., Punitha, P., Halb, W. (2009). Statement-Based Semantic Annotation of Media Resources. In: Chua, TS., Kompatsiaris, Y., Mérialdo, B., Haas, W., Thallinger, G., Bailer, W. (eds) Semantic Multimedia. SAMT 2009. Lecture Notes in Computer Science, vol 5887. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10543-2_7

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  • DOI: https://doi.org/10.1007/978-3-642-10543-2_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10542-5

  • Online ISBN: 978-3-642-10543-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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