Exploring Wasserstein distance across concept embeddings for ontology matching

Yuan An, Alexander Kalinowski, Jane Greenberg. Exploring Wasserstein distance across concept embeddings for ontology matching. In Pavel Shvaiko, Jérôme Euzenat, Ernesto Jiménez-Ruiz, Oktie Hassanzadeh, Cássia Trojahn, editors, Proceedings of the 17th International Workshop on Ontology Matching (OM 2022) co-located with the 21th International Semantic Web Conference (ISWC 2022), Hangzhou, China, held as a virtual conference, October 23, 2022. Volume 3324 of CEUR Workshop Proceedings, pages 13-24, CEUR-WS.org, 2022. [doi]

@inproceedings{AnKG22,
  title = {Exploring Wasserstein distance across concept embeddings for ontology matching},
  author = {Yuan An and Alexander Kalinowski and Jane Greenberg},
  year = {2022},
  url = {http://ceur-ws.org/Vol-3324/om2022_LTpaper2.pdf},
  researchr = {https://researchr.org/publication/AnKG22},
  cites = {0},
  citedby = {0},
  pages = {13-24},
  booktitle = {Proceedings of the 17th International Workshop on Ontology Matching (OM 2022) co-located with the 21th International Semantic Web Conference (ISWC 2022), Hangzhou, China, held as a virtual conference, October 23, 2022},
  editor = {Pavel Shvaiko and Jérôme Euzenat and Ernesto Jiménez-Ruiz and Oktie Hassanzadeh and Cássia Trojahn},
  volume = {3324},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}