An Efficient Parallelized Ontology Network-Based Semantic Similarity Measure for Big Biomedical Document Clustering
- DOI
- 10.1155/2021/7937573
- Published
- 2021-11-09
- Container
- Computational and Mathematical Methods in Medicine
- Publisher
- Wiley
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1155/2021/7937573,
title = {An Efficient Parallelized Ontology Network-Based Semantic Similarity Measure for Big Biomedical Document Clustering},
author = {Meijing Li and Tianjie Chen and Keun Ho Ryu and Cheng Hao Jin},
year = {2021},
journal = {Computational and Mathematical Methods in Medicine},
doi = {10.1155/2021/7937573},
url = {https://doi.org/10.1155/2021/7937573}
}RIS
TY - JOUR TI - An Efficient Parallelized Ontology Network-Based Semantic Similarity Measure for Big Biomedical Document Clustering AU - Meijing Li AU - Tianjie Chen AU - Keun Ho Ryu AU - Cheng Hao Jin PY - 2021 JO - Computational and Mathematical Methods in Medicine DO - 10.1155/2021/7937573 UR - https://doi.org/10.1155/2021/7937573 ER -
APA
Li, M., Chen, T., Ryu, K. H., & Jin, C. H. (2021). An Efficient Parallelized Ontology Network-Based Semantic Similarity Measure for Big Biomedical Document Clustering. Computational and Mathematical Methods in Medicine. https://doi.org/10.1155/2021/7937573
Source records
- crossref · retrieved 2026-09-25T18:30:04.905Z