中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Mining scientific literature to predict new relationships

文献类型:期刊论文

作者Huang, Wei; Nakamori, Yoshiteru; Wang, Shouyang; Ma, Tieju
刊名INTELLIGENT DATA ANALYSIS
出版日期2005
卷号9期号:2页码:219-234
关键词data mining knowledge discovery medical informatics
ISSN号1088-467X
英文摘要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.
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000202969200007
出版者IOS PRESS
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/2309]  
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.

入库方式: OAI收割

来源:数学与系统科学研究院

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