Wednesday, July 2
9:45 AM-10:15 AM
UTC
FH 8 (2nd Fl)

Machine-Readable Knowledge Structuring by Using Tagging Techniques

Full Paper: Conceptual & Empirical Study ID: 22488
  1. Patrick Erren
    University of Paderborn
  2. Dominik Niehus
    University of Paderborn
  3. Kathrin Bittner
    University of Paderborn
  4. Andrea Hoffmann
    University of Paderborn
  5. Christoph Horstmann
    University of Paderborn
  6. Marcel Jokoblew
    University of Paderborn
  7. Anastasios Kouroutzidis
    University of Paderborn
  8. Carmen Maszczyk
    University of Paderborn
  9. Christian Pietsch
    University of Paderborn
  10. Marina Schröder
    University of Paderborn
  11. Michelle Shuttleworh
    University of Paderborn
  12. aaa
    Felix Winkelnkemper
    University of Paderborn
  13. Lu Yu
    University of Paderborn

Abstract: The amount of knowledge in our world is increasing rapidly. Not losing one’s overview of the available information is becoming more and more of a problem, so structuring knowledge has become an important task mankind will be faced with in the near future. By semantic positioning, thus placing objects within one or more visual contexts, semantic relations can be depicted and processed. This does however pose problems on how to technically evaluate the immediate human understanding of the visual arrangement. The newly adapted version of the Medi@rena closes this gap. Elements providing a visual context like sets, scales and matrices together with tagging techniques provide a solution that is understandable by humans and is also interpretable, manipulable and analyzable by the Medi@rena client itself.

Presider: Marc Debiase, Odisey Design - Information Designing - Instructional Designing

Topic

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