Digital curation is a complex time and knowledge intensive process, in which knowledge workers create new content artifacts and knowledge insights from heterogeneous sources (content, data, knowledge). The work required for this includes, e.g., selecting, summarizing, scheduling, translating, localising, structuring, condensing, enriching, visualizing and explaining the various contents, taking into account the steadily growing speed, volume and number of sources such as online newspapers, news portals, social media, linked data, business information systems, IoT data streams etc. AI, in particular from the field of language and semantic knowledge technologies, is used to support these tasks and thereby accelerate and improve them qualitatively.
As digital communication is becoming more and more important, organisations struggle to manage content, data and knowledge. Content is often stored in several different systems making it difficult to find the relevant information quickly. Meta data of digital assets lack the quality necessary for editorial use. A growing amount of unstructured data is lost for knowledge management preventing organisations from gaining insights into their business processes and supply chains. The solution? Curation Technologies.