Mining scientific literature to predict new relationships

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	Mining scientific literature to predict new relationships
	Huang, Wei ; Nakamori, Yoshiteru ; Wang, Shouyang; Ma, Tieju
	2005
发表期刊	INTELLIGENT DATA ANALYSIS
ISSN	1088-467X
卷号	9 期号:2 页码:219-234
摘要	It is compelling to process scientific literature to support the development of new science and technology. We propose a method to predict new relationships between a starting concept of interest and other concepts by mining scientific literature. In contrast to previous research, we measure the relationship between two concepts not only by their co-occurrence in scientific literature, but also by their sibling relationship in a hierarchical structure of concepts. Therefore, the predicted relationships of concepts obtained with our method are more pertinent to existing relationships within current scientific literature. By introducing a parent set, we propose a measure to evaluate the closeness of two concepts in a hierarchical structure of concepts. In order to deal with the combinatorial problems, we present two ways to limit the number of new relationships, which can be interactively enforced by the user. As in most of the previous research on literature-based discoveries, we choose biomedicine as the field in which to demonstrate our method. A comparison with related research shows that our method exhibits better performance, except in term of Recall. The new relationships predicted by this method can serve as candidates for new research themes, as impetus for inspiration, or as hypotheses to be tested in future.
关键词	data mining knowledge discovery medical informatics
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000202969200007
出版者	IOS PRESS
引用统计
文献类型	期刊论文
条目标识符	http://ir.amss.ac.cn/handle/2S8OKBNM/2310
专题	系统科学研究所
通讯作者	Huang, Wei
作者单位	1.Japan Adv Inst Sci & Technol, Sch Knowledge Sci, Nomi, Ishikawa 9231292, Japan 2.Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Beijing 100080, Peoples R China
推荐引用方式 GB/T 7714	Huang, Wei,Nakamori, Yoshiteru,Wang, Shouyang,et al. Mining scientific literature to predict new relationships[J]. INTELLIGENT DATA ANALYSIS,2005,9(2):219-234.
APA	Huang, Wei,Nakamori, Yoshiteru,Wang, Shouyang,&Ma, Tieju.(2005).Mining scientific literature to predict new relationships.INTELLIGENT DATA ANALYSIS,9(2),219-234.
MLA	Huang, Wei,et al."Mining scientific literature to predict new relationships".INTELLIGENT DATA ANALYSIS 9.2(2005):219-234.