Ontology Enrichment from Texts: A Biomedical Dataset for Concept Discovery and Placement.
Hang Dong|Jiaoyan Chen|Yuan He|Ian Horrocks
| Anthology ID: | DBLP:conf/cikm/0002C0023 |
|---|---|
| Volume: | Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 5316-5320 |
| URL: | https://doi.org/10.1145/3583780.3615126 |
| DOI: | https://doi.org/10.1145/3583780.3615126 |
| DBLP: | conf/cikm/0002C0023 |
| BibTeX: |
@inproceedings{dong-2023-ontology,
author = {Hang Dong and
Jiaoyan Chen and
Yuan He and
Ian Horrocks},
editor = {Ingo Frommholz and
Frank Hopfgartner and
Mark Lee and
Michael P. Oakes and
Mounia Lalmas-Roelleke and
Min Zhang and
Rodrygo L. T. Santos},
title = {{Ontology Enrichment from Texts: A Biomedical Dataset for Concept Discovery and Placement}},
booktitle = {{Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023}},
pages = {5316--5320},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3583780.3615126},
doi = {https://doi.org/10.1145/3583780.3615126}
}