Concept embedding to measure semantic relatedness for biomedical information ontologies

Research article (Journal of Biomedical Informatics, 2019) · cited 29× · AI/ML
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Concept embedding to measure semantic relatedness for biomedical information ontologies

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Concept embedding to measure semantic relatedness for biomedical information ontologies is a scholarly article[1].

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  • Concept embedding to measure semantic relatedness for biomedical information ontologies's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Concept embedding to measure semantic relatedness for biomedical information ontologies. Retrieved May 24, 2026, from https://4ort.xyz/entity/concept-embedding-to-measure-semantic-relatedness-for-biomedical-information-ontologies
MLA “Concept embedding to measure semantic relatedness for biomedical information ontologies.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/concept-embedding-to-measure-semantic-relatedness-for-biomedical-information-ontologies.
BibTeX @misc{4ortxyz_concept-embedding-to-measure-semantic-relatedness-for-biomedical-information-ontologies_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Concept embedding to measure semantic relatedness for biomedical information ontologies}}, year = {2026}, url = {https://4ort.xyz/entity/concept-embedding-to-measure-semantic-relatedness-for-biomedical-information-ontologies}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Concept embedding to measure semantic relatedness for biomedical information ontologies — https://4ort.xyz/entity/concept-embedding-to-measure-semantic-relatedness-for-biomedical-information-ontologies (retrieved 2026-05-24)

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