Statement-Based Semantic Annotation of Media Resources.

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.