Data for: Concept Embedding to Measure Semantic Relatedness for Biomedical Information Ontologies
UnspecifiedKorea Advanced Institute of Science and TechnologyFirst Author
Kwangmin KimKorea Advanced Institute of Science and TechnologySecond Author
Computer ScienceKorea Advanced Institute of Science and TechnologyCorresponding Author
Biochemistry, Genetics and Molecular BiologyUniversity of CambridgeThird Author
Description of this data
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.
Experiment data files
This data is associated with the following publication:
Cite this dataset
Park, Junseok; Kim, Kwangmin; Lee, Doheon; Hwang, Woochang (2019), “Data for: Concept Embedding to Measure Semantic Relatedness for Biomedical Information Ontologies”, Mendeley Data, v1 http://dx.doi.org/10.17632/nbb2ntpdw5.1
The files associated with this dataset are licensed under a Creative Commons Attribution 4.0 International licence.