Case Study

Content Pool

 

Data Pipeline Par Excellence

The aim of the Content Pool is to establish a group-wide semantic pool for a consistent collection and playout of content and publications. One of the key features is the semantic enrichment of content through natural language processing. In this way, you can learn more about your content as a publication. Which entities, for example, are included? Are there cities, people, organizations to be found in the content and if so, which ones? Non-idea services can request content metadata from the content pool and use it for their own purposes.