Ontology Enrichment from Texts: A Biomedical Dataset for Concept Discovery and Placement-Reference-Cited by-同舟云学术

Ontology Enrichment from Texts: A Biomedical Dataset for Concept Discovery and Placement

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
language:
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Author:

Dong Hang¹^ORCID,Chen Jiaoyan²^ORCID,He Yuan¹^ORCID,Horrocks Ian¹^ORCID

Affiliation:

1. University of Oxford, Oxford, United Kingdom

2. The University of Manchester & University of Oxford, Manchester, United Kingdom

Funder

Engineering and Physical Sciences Research Council

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3615126

Reference34 articles.

1. Franz Baader , Ian Horrocks , Carsten Lutz , and Uli Sattler . 2017a. A Basic Description Logic . Cambridge University Press , Cambridge , 10--49. https://doi.org/10.1017/9781139025355.002 10.1017/9781139025355.002 Franz Baader, Ian Horrocks, Carsten Lutz, and Uli Sattler. 2017a. A Basic Description Logic. Cambridge University Press, Cambridge, 10--49. https://doi.org/10.1017/9781139025355.002

2. Franz Baader , Ian Horrocks , Carsten Lutz , and Uli Sattler . 2017b. Ontology Languages and Applications . Cambridge University Press , Cambridge , 205--227. https://doi.org/10.1017/9781139025355.008 10.1017/9781139025355.008 Franz Baader, Ian Horrocks, Carsten Lutz, and Uli Sattler. 2017b. Ontology Languages and Applications. Cambridge University Press, Cambridge, 205--227. https://doi.org/10.1017/9781139025355.008

3. COMETA: A Corpus for Medical Entity Linking in the Social Media

4. The Unified Medical Language System (UMLS): integrating biomedical terminology

5. Supporting SNOMED CT postcoordination with knowledge graph embeddings