To Classify is to Interpret: Building Taxonomies from Heterogeneous Data through Human-AI Collaboration

Sebastian Meier, Katrin Glinka. To Classify is to Interpret: Building Taxonomies from Heterogeneous Data through Human-AI Collaboration. In Markus Stolze, Frieder Loch, Matthias Baldauf, Florian Alt, Christina Schneegass, Thomas Kosch, Teresa Hirzle, Shadan Sadeghian, Fiona Draxler, Kenan Bektas, Katrin Lohan, Pascal Knierim, editors, Mensch und Computer 2023, MuC 2023, Rapperswil, Switzerland, September 3-6, 2023. pages 395-401, ACM, 2023. [doi]

@inproceedings{MeierG23,
  title = {To Classify is to Interpret: Building Taxonomies from Heterogeneous Data through Human-AI Collaboration},
  author = {Sebastian Meier and Katrin Glinka},
  year = {2023},
  doi = {10.1145/3603555.3608532},
  url = {https://doi.org/10.1145/3603555.3608532},
  researchr = {https://researchr.org/publication/MeierG23},
  cites = {0},
  citedby = {0},
  pages = {395-401},
  booktitle = {Mensch und Computer 2023, MuC 2023, Rapperswil, Switzerland, September 3-6, 2023},
  editor = {Markus Stolze and Frieder Loch and Matthias Baldauf and Florian Alt and Christina Schneegass and Thomas Kosch and Teresa Hirzle and Shadan Sadeghian and Fiona Draxler and Kenan Bektas and Katrin Lohan and Pascal Knierim},
  publisher = {ACM},
}