DAEOM: A Deep Attentional Embedding Approach for Biomedical Ontology Matching
Ontology Matching (OM) is performed to find semantic correspondences between the entity elements of different ontologies to enable semantic integration, reuse, and interoperability. Representation learning techniques have been introduced to the field of OM with the development of deep learning. Howe...
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| Principais autores: | , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI AG
2020-11-01
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| Serier: | Applied Sciences |
| Fag: | |
| Online adgang: | https://www.mdpi.com/2076-3417/10/21/7909 |
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