Constructing biomedical domain-specific knowledge graph with minimum supervision

doi:10.1007/s10115-019-01351-4

	Constructing biomedical domain-specific knowledge graph with minimum supervision
	Yuan, Jianbo 1; Jin, Zhiwei 2; Guo, Han 2; Jin, Hongxia 3; Zhang, Xianchao 4; Smith, Tristram 5; Luo, Jiebo 1
	2020
发表期刊	KNOWLEDGE AND INFORMATION SYSTEMS
ISSN	0219-1377
卷号	62 期号:1 页码:317-336
摘要	Domain-specific knowledge graph is an effective way to represent complex domain knowledge in a structured format and has shown great success in real-world applications. Most existing work on knowledge graph construction and completion shares several limitations in that sufficient external resources such as large-scale knowledge graphs and concept ontologies are required as the starting point. However, such extensive domain-specific labeling is highly time-consuming and requires special expertise, especially in biomedical domains. Therefore, knowledge extraction from unstructured contexts with minimum supervision is crucial in biomedical fields. In this paper, we propose a versatile approach for knowledge graph construction with minimum supervision based on unstructured biomedical domain-specific contexts including the steps of entity recognition, unsupervised entity and relation embedding, latent relation generation via clustering, relation refinement and relation assignment to assign cluster-level labels. The experimental results based on 24,687 unstructured biomedical science abstracts show that the proposed framework can effectively extract 16,192 structured facts with high precision. Moreover, we demonstrate that the constructed knowledge graph is a sufficient resource for the task of knowledge graph completion and new knowledge inference from unseen contexts.
关键词	Knowledge graph construction Biomedical Domain-specific Minimum supervision
DOI	10.1007/s10115-019-01351-4
收录类别	SCI
语种	英语
资助项目	New York State through the Goergen Institute for Data Science ; Carestream Health ; NSF[1704309] ; NSF[1722847]
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Information Systems
WOS记录号	WOS:000511654800011
出版者	SPRINGER LONDON LTD
引用统计	被引频次：37[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/14677
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Yuan, Jianbo
作者单位	1.Univ Rochester, Dept Comp Sci, Rochester, NY 14623 USA 2.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China 3.Samsung Res Amer, Mountain View, CA USA 4.Dalian Univ Technol, Sch Software Technol, Dalian, Peoples R China 5.Univ Rochester, Med Ctr, Dept Pediat, Rochester, NY 14642 USA
推荐引用方式 GB/T 7714	Yuan, Jianbo,Jin, Zhiwei,Guo, Han,et al. Constructing biomedical domain-specific knowledge graph with minimum supervision[J]. KNOWLEDGE AND INFORMATION SYSTEMS,2020,62(1):317-336.
APA	Yuan, Jianbo.,Jin, Zhiwei.,Guo, Han.,Jin, Hongxia.,Zhang, Xianchao.,...&Luo, Jiebo.(2020).Constructing biomedical domain-specific knowledge graph with minimum supervision.KNOWLEDGE AND INFORMATION SYSTEMS,62(1),317-336.
MLA	Yuan, Jianbo,et al."Constructing biomedical domain-specific knowledge graph with minimum supervision".KNOWLEDGE AND INFORMATION SYSTEMS 62.1(2020):317-336.