Data for: Concept Embedding to Measure Semantic Relatedness for Biomedical Information Ontologies

Name: Data for: Concept Embedding to Measure Semantic Relatedness for Biomedical Information Ontologies
Creator: Junseok Park
Published: 2019-04-22T22:47:42.081Z
Keywords: Document Analysis, Similarity Measure, Biomedical Research

Park, Junseok; Kim, Kwangmin; Lee, Doheon; Hwang, Woochang

doi:10.17632/nbb2ntpdw5.1

Data for: Concept Embedding to Measure Semantic Relatedness for Biomedical Information Ontologies

Published: 22-04-2019| Version 1 | DOI: 10.17632/nbb2ntpdw5.1

Contributors:

Junseok Park,

Kwangmin Kim,

Doheon Lee,

Woochang Hwang

Description

we extended the definition information of the CUI terms using the Wikipedia database to improve the coverage of the similarity model. Second, we adopted document embedding for vector representations of the CUI terms. We used UMLS2015AB for the data.

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Data for: Concept Embedding to Measure Semantic Relatedness for Biomedical Information Ontologies

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