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

Kim J, Le DX, Thoma GR
Proc IEEE CBMS, June 2006, Salt Lake City, Utah; 905-10

Abstract:
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 MEDLINE 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%.

PDF