中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Method of Biomedical Knowledge Discovery by Literature Mining Based on SPO Predications: A Case Study of Induced Pluripotent Stem Cells

文献类型:会议论文

作者Hu ZY(胡正银)1; Ceng RQ(曾荣强)1,2; Tan XC(覃筱楚)3; Wei L(隗玲)1; Zhang ZQ(张志强)1
出版日期2018-07
会议日期July 15-19, 2018
会议地点New York, NY, USA
关键词Biomedical Knowledge Discovery Spo Induced Pluripotent Stem Cells Semantic Relation Network Community Detection
DOIhttps://doi.org/10.1007/978-3-319-96133-0_29
英文摘要A large amount of valuable knowledge is hidden in the vast biomedical literatures, publications, and online contents. In order to identify the previously unknown biomedical knowledge from these resources, we propose a new method of knowledge discovery based on SPO predications, which constructs a three-level SPO-semantic relation network in the considered area. We carry out the experiments in the area of induced pluripotent stem cells, and the experimental results indicate that our proposed method can significantly discover the potential biomedical knowledge in this area, and the performance analysis of this method sheds lights on the ways to further improvements.
会议录Machine Learning and Data Mining in Pattern Recognition. MLDM 2018
会议录出版者Springer, Cham
学科主题情报技术
语种英语
URL标识查看原文
源URL[http://ir.las.ac.cn/handle/12502/9796]  
专题文献情报中心_中国科学院成都文献情报中心_信息技术部
作者单位1.中国科学院成都文献情报中心
2.西南交通大学
3.中国科学院广州生物医药与健康研究院
推荐引用方式
GB/T 7714
Hu ZY,Ceng RQ,Tan XC,et al. A Method of Biomedical Knowledge Discovery by Literature Mining Based on SPO Predications: A Case Study of Induced Pluripotent Stem Cells[C]. 见:. New York, NY, USA. July 15-19, 2018.

入库方式: OAI收割

来源:文献情报中心

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