Knowledge Graphs of Literary Crossings

Modeling European-Korean Literary Translation History Using Linked Open Data, the Second workshop

Knowledge Graphs of Literary Crossings

Datum:

19.10.2026 bis 21.10.2026

Ort:

Meeting room, 3rd floor
DM-Building
Trier University

Organizer: Prof. Dr. Christof Schöch, Trier Center for Digital Humanities (TCDH)

Kategorie(n):

Workshop

Kontakt:

Prof. Dr. Christof Schöch
In late July 2026, members of the TCDH team and researchers from the Academy of Korean Studies held a joint workshop in Seoul, South Korea, ahead of the DH 2026 conference. The second workshop will now take place in Trier, with the researchers from Korea visiting us at the TCDH. We are pleased to welcome them to Trier.

Programme

Monday, 19 October 

  • 17:00 Meet and Greet

Tuesday, 20 October – Workshop day

  • 09:30 – 10:00 Tea and coffee 
  • 10:00 – 10:45 Song-yi Jung (AKS) – "From Design to Data: An LRMoo-based RDF Model for Korean Translation and Criticism, Validated on 271 Editions of Goethe's Werther" 
  • 10:45 – 11:30 Haein Ji & Byungjun Kim (AKS) – "An Agentic Framework for Semi-Automated TEI/XML Encoding of Multilingual Literary Texts" 
  • 11:30 – 11:45 Short break 
  • 11:45 – 12:30 Gayeon Kim & SeonYeong Park (AKS) – "Reading Germany from Korea: Citation Flows and Shifting Interests in Korean German Studies, 2008–2024" 
  • 12:30 – 14:00 Lunch break 
  • 14:00 – 17:00 Christof Schöch, Keli Du, Élodie Ripoll (TCDH) – Collaborative hands-on exploration of datasets relevant to literary translation

Wednesday, 21 October 

  • 09:20 – 12:00: Christof Schöch, Byungjun Kim: Exploring options for a joint project: funding opportunities, topics and methods, team composition. 
  • Lunch: Light lunch 
  • Afternoon: City tour
  • Evening: Dinner

For more information about the first workshop, see our event article: https://tcdh.uni-trier.de/en/event/workshop-research-literary-translations-between-south-korea-and-europe. 

Themen: Digitale Literatur- und Kulturwissenschaften

Schlagworte: Linked Open Data, Dissemination und Community Building in den DH / Wissensaustausch