Easily collect, create, manage metadata – and access assets for planning, production, and distribution faster
Media Data Hub: Data hub for broadcasters and publishers
Use Cases
- Cross-media research in media archives
- Data collection for accounting workflows (e.g. Gema)
- The attainment of information claims (e.g., copyright information)
- The generation of metadata for video SEO
Automated, digital processes for the media industry.
Access to metadata is an essential part of all internal processes such as planning, production and distribution. In addition, important accompanying processes such as research, clarification of rights, and billing are involved. With the Media Data Hub, metadata can be collected, generated, and managed company-wide. It combines all relevant information across various specialized systems to provide a unified, cross-media view of media objects. Missing metadata is automatically filled in using methods from data analysis, artificial intelligence and Linked Data. The Media Data Hub serves as a central hub for metadata, both as a data provider for third-party systems and as a central platform for mining services, algorithms, and models.
Crossmedia Search at ARD
Cross-media research and automated, digital workflows for the editorial workplace.
“For broadcasters and publishers, the Media Data Hub is a perfect choice and starting point for an efficient automation, data and service strategy. At the same time, the Data Hub can be integrated into any existing system landscape. We customize the hub perfectly for each customer and expand it as needed.”
Jochen SchonCEO & Gründer
FAQs
How can I ensure that unauthorized persons cannot access the data?
Authentication and authorization are performed in the Media Data Hub using the OpenConnect and OpenID protocols. The services are linked to the company’s own user directory and can map any authorization structures. Data is released via the global OAUTH2 standard.
Which data types and data formats are supported by the Media Data Hub?
The Media Data Hub is designed as a hub for metadata, but in principle also supports unstructured data of all media types. For a variety of data types and formats (XML, JSON, …) connectors and transformers are already available, which can easily be adapted to specific sources.
Which data analytics services can complement my Media Data Hub?
The Media Data Hub has a variety of microservices for analyzing text, audio, image or video. In addition, higher-order services can be attached that analyze user feedback to learn in a task-specific manner.