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A lexical-based approach for exhaustive detection of missing hierarchical IS-A relations in SNOMED CT
Incompleteness of ontologies affects the quality of downstream ontology-based applications. In this paper, we introduce a novel lexical-based approach to automatically detect potentially missing hierarchical IS-A relations in SNOMED CT. We model each concept with an enriched set of lexical features,...
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| Publicado en: | AMIA Annu Symp Proc |
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| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
American Medical Informatics Association
2021
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8075518/ https://ncbi.nlm.nih.gov/pubmed/33936515 |
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