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UID:/NewsandEvents/Archives/2020/newsitem/11181/20
 ---21-January-2020-Conference-on-Digital-Curation-
 Technologies-Qurator-2020-Berlin-Germany
DTSTAMP:20191003T161012
SUMMARY:Conference on Digital Curation Technologie
 s (Qurator 2020), Berlin, Germany
DTSTART;VALUE=DATE:20200120
DTEND;VALUE=DATE:20200121
LOCATION:Berlin, Germany
DESCRIPTION:Digital curation is a complex time and
  knowledge intensive process, in which knowledge w
 orkers create new content artifacts and knowledge 
 insights from heterogeneous sources (content, data
 , knowledge). The work required for this includes,
  e.g., selecting, summarizing, scheduling, transla
 ting, localising, structuring, condensing, enrichi
 ng, visualizing and explaining the various content
 s, from sources such as online newspapers, news po
 rtals, social media, linked data, business informa
 tion systems, IoT data streams etc. AI, in particu
 lar from the field of language and semantic knowle
 dge technologies, are used to support these tasks 
 and thereby accelerate and qualitatively improve t
 hem.  The conference provides a forum on the use o
 f digital curation technologies in application dom
 ains for, e.g., media, journalism, logistics, cult
 ural heritage, health care and life sciences, ener
 gy, industry. Of particular relevance are papers t
 hat demonstrate the applied use of digital curatio
 n technologies and tools in domain-specific use ca
 ses and that bridge traditional boundaries between
  disciplines such as Artificial Intelligence and S
 emantic Web, data analytics and machine learning, 
 information/content and knowledge management syste
 ms, information retrieval, knowledge discovery, an
 d computational linguistics.  The following types 
 of submissions are invited:  - Regular papers (10-
 15 pages), including Research papers (original res
 earch on a topic of interest) and In-use papers (n
 ew 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 note
 s, using digital curation applications and tools),
  Poster and Software demo papers (presenting softw
 are and tools in action), and Industry application
  papers (reporting on industrial applications addr
 essing a topic of interest)  - Student papers: (5-
 15 pages) e.g. describing results from bachelor/ma
 ster theses or student projects; the best student 
 paper will receive an award.  Topics of interest i
 nclude, but are not limited to:  - Management of D
 igitally Curated and Semantically Expressive Infor
 mation 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.
X-ALT-DESC;FMTTYPE=text/html:<div>\n  <p>Digital c
 uration is a complex time and knowledge intensive 
 process, in which knowledge workers create new con
 tent artifacts and knowledge insights from heterog
 eneous sources (content, data, knowledge). The wor
 k required for this includes, e.g., selecting, sum
 marizing, scheduling, translating, localising, str
 ucturing, condensing, enriching, visualizing and e
 xplaining the various contents, from sources such 
 as online newspapers, news portals, social media, 
 linked data, business information systems, IoT dat
 a streams etc. AI, in particular from the field of
  language and semantic knowledge technologies, are
  used to support these tasks and thereby accelerat
 e and qualitatively improve them.</p>\n\n  <p>The 
 conference provides a forum on the use of digital 
 curation technologies in application domains for, 
 e.g., media, journalism, logistics, cultural herit
 age, health care and life sciences, energy, indust
 ry. Of particular relevance are papers that demons
 trate the applied use of digital curation technolo
 gies and tools in domain-specific use cases and th
 at bridge traditional boundaries between disciplin
 es such as Artificial Intelligence and Semantic We
 b, data analytics and machine learning, informatio
 n/content and knowledge management systems, inform
 ation retrieval, knowledge discovery, and computat
 ional linguistics.</p>\n</div><div>\n  <p>The foll
 owing types of submissions are invited:<br>\n  - R
 egular papers (10-15 pages), including Research pa
 pers (original research on a topic of interest) an
 d In-use papers (new applications and tool descrip
 tions addressing a topic of interest).<br>\n  - Sh
 ort papers: (5-9 pages), including Use Case and Po
 sition papers (use case descriptions and applicati
 on 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 indu
 strial applications addressing a topic of interest
 )<br>\n  - Student papers: (5-15 pages) e.g. descr
 ibing results from bachelor/master theses or stude
 nt projects; the best student paper will receive a
 n award.</p>\n\n  <p>Topics of interest include, b
 ut are not limited to:<br>\n  - Management of Digi
 tally Curated and Semantically Expressive Informat
 ion and Knowledge<br>\n  - AI-based / Semantic Lar
 ge Scale and Complex Information and Content Analy
 sis<br>\n  - Applications, Evaluations, and Experi
 ences of applying digital curation technologies, s
 tandards, and tools.</p>\n</div>
URL:https://qurator.ai/konferenz-qurator-2020/
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