Automated and Explainable Ontology Extension based on Deep Learning: A Case Study in the Chemical Domain

Adel Memariani, Martin Glauer, Fabian Neuhaus, Till Mossakowski, Janna Hastings. Automated and Explainable Ontology Extension based on Deep Learning: A Case Study in the Chemical Domain. In Roberto Confalonieri 0001, Oliver Kutz, Diego Calvanese, editors, Proceedings of the Workshop on Data meets Applied Ontologies in Explainable AI (DAO-XAI 2021) part of Bratislava Knowledge September (BAKS 2021), Bratislava, Slovakia, September 18th to 19th, 2021. Volume 2998 of CEUR Workshop Proceedings, CEUR-WS.org, 2021. [doi]

@inproceedings{MemarianiGNMH21,
  title = {Automated and Explainable Ontology Extension based on Deep Learning: A Case Study in the Chemical Domain},
  author = {Adel Memariani and Martin Glauer and Fabian Neuhaus and Till Mossakowski and Janna Hastings},
  year = {2021},
  url = {http://ceur-ws.org/Vol-2998/paper1.pdf},
  researchr = {https://researchr.org/publication/MemarianiGNMH21},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the Workshop on Data meets Applied Ontologies in Explainable AI (DAO-XAI 2021) part of Bratislava Knowledge September (BAKS 2021), Bratislava, Slovakia, September 18th to 19th, 2021},
  editor = {Roberto Confalonieri 0001 and Oliver Kutz and Diego Calvanese},
  volume = {2998},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}