EncycNet, funded by the German Research Foundation (DFG) and begun in 2019, aims to create a new semantic resource for historical German in the form of a richly annotated knowledge graph (a nodes and edges network). By linking the knowledge contained within thousands of encyclopedia entries via machine learning classification and semantic web annotation, EncycNet provides a unique resource for a variety of historical, cultural, and computational linguistic research goals.

EncycNet - Knowledge Graph

Creative Commons

Publications and presentations

Data

Team

  • Fotis Jannidis, University of Würzburg
  • Andreas Witt, IDS Mannheim & University of Cologne
  • Thora Hagen, University of Würzburg
  • Erik Ketzan, University of Cologne (July 2020 - Sept. 2021)

Research assistants

  • Corinna Keupp
  • Maximilian Supplieth
  • Nicolas Werner (April 2021 - Sept. 2021)

Contact

Thora Hagen

thora.hagen@uni-wuerzburg.de

Acknowledgements

Thanks to the German Text Archive (Deutsches Textarchiv), especially Bryan Jurish, who generously performed the orthographic normalization, lemmatization and Part-of-Speech tagging of all encyclopedia texts using CAB.