Mining scientific literature to predict new relationships
文献类型:期刊论文
作者 | Huang, Wei; Nakamori, Yoshiteru; Wang, Shouyang![]() |
刊名 | INTELLIGENT DATA ANALYSIS
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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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