@inproceedings{memarianiOntoExtension2021,
  added-at = {2024-01-16T13:54:34.000+0100},
  author = {Memariani, Adel and Glauer, Martin and Neuhaus, Fabian and Mossakowski, Till and Hastings, Janna},
  bdsk-url-1 = {http://ceur-ws.org/Vol-2998/},
  biburl = {https://www.bibsonomy.org/bibtex/25589929dd350eeafc3523557738631f4/fneuhaus},
  booktitle = {Proceedings of the 3rd Workshop on Data meets Applied Ontologies in XAI, September 18-19, Bratislava, 2021},
  date-added = {2021-08-30 14:56:42 +0200},
  date-modified = {2021-11-10 22:56:06 +0100},
  editor = {et al., Roberto Confalonieri},
  interhash = {5cce1528f6de6ed99b500b4fa76cf9f8},
  intrahash = {5589929dd350eeafc3523557738631f4},
  keywords = {myOwn},
  series = {{CEUR} Workshop Proceedings},
  timestamp = {2024-01-16T13:54:34.000+0100},
  title = {Automated and explainable ontology extension based on deep learning: A case study in the chemicaldomain},
  url = {http://ceur-ws.org/Vol-2998/},
  volume = 2998,
  year = 2021
}