MAW: A new effective and efficient knowledge Meta-model for Audiovisual Works

To define an effective and efficient knowledge structure about audiovisual contents is not an easy task. Several research projects try to standardize the audiovisual data store and broadcasting process, as ISAN, VISAN, the EBU projects as ESCORT, TV-Anytime or P/META, the SMEF meta-model from the BBC, etc. but all of them have a problem: they are defined in a specific domain, they are not generic, and they have not taken into account the importance of an effective and efficient definition of data. In this paper we propose a new and generic way for defining audiovisual works using the entity-relationship model: MAW (meta-model for audiovisual works). Moreover, we compare our solution with two of the most used meta-models: ISAN and SMEF.