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20 - 21 January 2020, Conference on Digital Curation Technologies (Qurator 2020), Berlin, Germany
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, from 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.
The following types of submissions are invited:
- Regular papers (10-15 pages), including Research papers (original research on a topic of interest) and In-use papers (new applications and tool descriptions addressing a topic of interest).
- Short papers: (5-9 pages), including Use Case and Position papers (use case descriptions and application notes, discovery notes, using digital curation applications and tools), Poster and Software demo papers (presenting software and tools in action), and Industry application papers (reporting on industrial applications addressing a topic of interest)
- Student papers: (5-15 pages) e.g. describing results from bachelor/master theses or student projects; the best student paper will receive an award.
Topics of interest include, but are not limited to:
- Management of Digitally Curated and Semantically Expressive Information and Knowledge
- AI-based / Semantic Large Scale and Complex Information and Content Analysis
- Applications, Evaluations, and Experiences of applying digital curation technologies, standards, and tools.
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