Automated labeling of bibliographic data extracted from biomedical online journals

被引：7
|
作者：
Kim, JW [1 ]
Le, DX [1 ]
Thoma, GR [1 ]
机构：
[1] Natl Lib Med, Lister Hill Natl Ctr Biomed Commun, Bethesda, MD 20894 USA
来源：
DOCUMENT RECOGNITION AND RETRIEVAL X | 2003年 / 5010卷
关键词：
!text type='HTML']HTML[!/text; online journals; labeling; fuzzy rule-based algorithm; statistics; WebMARS; NLM;
D O I：
10.1117/12.476047
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
dA prototype system has been designed to automate the extraction of bibliographic data (e.g., article title, authors, abstract, affiliation and others) from online biomedical journals to populate the National Library of Medicine's MEDLINE(R) database. This paper describes a key module in this system: the labeling module that employs statistics and fuzzy rule-based algorithms to identify segmented zones in an article's HTML pages as specific bibliographic data. Results from experiments conducted with 1, 149 medical articles from forty-seven journal issues are presented.
引用
收藏
页码：47 / 56
页数：10
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