A Method of Biomedical Knowledge Discovery by Literature Mining Based on SPO Predications: A Case Study of Induced Pluripotent Stem Cells

doi:https://doi.org/10.1007/978-3-319-96133-0_29

	A Method of Biomedical Knowledge Discovery by Literature Mining Based on SPO Predications: A Case Study of Induced Pluripotent Stem Cells
	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
	2018-07
会议名称	14th International Conference on Machine Learning and Data Mining MLDM 2018
会议录名称	Machine Learning and Data Mining in Pattern Recognition. MLDM 2018
会议日期	July 15-19, 2018
会议地点	New York, NY, USA
出版者	Springer, Cham
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.
关键词	Biomedical Knowledge Discovery Spo Induced Pluripotent Stem Cells Semantic Relation Network Community Detection
学科领域	情报技术
DOI	https://doi.org/10.1007/978-3-319-96133-0_29
URL	查看原文
收录类别	EI
语种	英语
引用统计
文献类型	会议论文
条目标识符	http://ir.las.ac.cn/handle/12502/9796
专题	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
第一作者单位	中国科学院文献情报中心
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]:Springer, Cham,2018.

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