Media companies such as publishing houses, television broadcasters, radio stations, media archives, and libraries are facing a couple of challenges regarding the creation, indexing, and usage of media content. These challenges are a poor indexing of the media content, low visibility of media stocks in the Internet, limited search within the media stocks, and lack of process integration. Today's media management solutions cannot sufficiently address these challenges. The core reason for these problems is the solely use of textual metadata for indexing and using the media content. Annotations based on textual metadata are prone to, e.g., typographical errors, variant forms of spelling, and ambiguities.
To address these challenges and to alleviate the problems of the media companies, a semantic media management has been developed over the last years. Semantic media management is the management of media content by technologies of the Semantic Web. Central part is the use of a formal metadata model that is based on core ontologies and Linked Data. Such a formal metadata model provides support for a comprehensive and precise description of the semantics of digital media content. The use of this metadata model allows for technical innovations in the different processes of media management. In addition, it enables better integration of the processes.