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Automatic Extraction of Bibliographic Information from Biomedical Online Journal Articles Using a String Matching Algorithm

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3 Author(s)
Jongwoo Kim ; Nat. Libr. of Medicine, Bethesda, MD ; Le, D.X. ; Thoma, G.R.

A system has been developed to extract bibliographic data (grant numbers and databank accession numbers) from online biomedical journal articles for the National Library of Medicine's MEDLINEreg database. Rule-based algorithms and a string matching algorithm are proposed to extract the bibliographic data from HTML-formatted articles. Experiments conducted with 411 medical articles from 73 journal issues show an accuracy exceeding 96%

Published in:

Computer-Based Medical Systems, 2006. CBMS 2006. 19th IEEE International Symposium on

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