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, are used to support these tasks and thereby accelerate and qualitatively improve them.
The conference provides a forum on the use of digital curation technologies in application domains for, e.g., media, journalism, logistics, cultural heritage, health care and life sciences, energy, industry. Of particular relevance are papers that demonstrate the applied use of digital curation technologies and tools in domain-specific use cases and that bridge traditional boundaries between disciplines such as Artificial Intelligence and Semantic Web, data analytics and machine learning, information/content and knowledge management systems, information retrieval, knowledge discovery, and computational linguistics.
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