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TRSRD: a database for research on risky substances in tea using natural language processing and knowledge graph-based techniques
During the production and processing of tea, harmful substances are often introduced. However, they have never been systematically integrated, and it is impossible to understand the harmful substances that may be introduced during tea production and their related relationships when searching for pap...
Autores principales: | Wang, Yongmei, Wang, Peng, Zhang, Yongheng, Yao, Siyi, Xu, Zhipeng, Zhang, Youhua |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10167980/ https://www.ncbi.nlm.nih.gov/pubmed/37159240 http://dx.doi.org/10.1093/database/baad031 |
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