Statement-based semantic annotation of media resources

Weiss, W., Bürger, T., Villa, R., Punitha, P. and Halb, W. (2009) Statement-based semantic annotation of media resources. Lecture Notes in Computer Science, 5887, pp. 52-64. (doi: 10.1007/978-3-642-10543-2_7)

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 and 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.

• Item Type: Articles
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Villa, Dr Robert
• Authors: Weiss, W., Bürger, T., Villa, R., Punitha, P., and Halb, W.
• Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
• College/School: College of Science and Engineering > School of Computing Science
• Journal Name: Lecture Notes in Computer Science
• ISSN: 0302-9743