WG4: Data curation and navigation based on knowledge maps

WG4

Main scientific objective:
Guidelines to implement new navigation and retrieval strategies with the aim to increase data access, analysis and re-use (O1,3)

Specific objectives, means and methods:

  • Design workflows to integrate large knowledge spaces using Open Linked Data principles
  • Develop principles for a useful selection of and/or possible combination between different ordering systems
  • Analyse the influence of the underlying technological infrastructure of digital collections on sustainable access
  • Identify standards of data representation useful for visual analytics
  • Explore the use of visual analytics for collection policies and data curation
  • Develop interactive interfaces for visually enhanced collection browsing
  • Create new Information Retrieval models for cross-system, cross-collection and cross-domain searches in large heterogeneous information spaces
  • Design demonstrator cases
  • Provide guidelines for implementation

 

Members (27)

Working group leader: Peter MUTSCHKE, Christophe GUERET

Andreas RAUBER, Birte CHRISTENSEN-DALSGAARD, Santo FORTUNATO, Eero HYVOENEN, Sebastien HEYMANN, Bin YANG, Clement LEVALLOIS, Thomas HUESING, Philipp MAYR, Stefan DIETZE, Milena DOBREVA, Almila AKDAG, Stefan SCHLOHBACH, Marc BRON, Shenghui WANG, Ana Alice BAPTISTA, Igor GRABEC, Franc ZAKRAJSEK,  Emilia GOMEZ-GUTIERREZ, Esteban Romero FRIAS, Hans Jorgen MARKER, Preben HANSEN, Mark HALL, Zsuzsanna VARGA, Andrea SCHARNHORST

 
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