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Automatic Extraction of Bibliographic Information from Biomedical Online Journal Articles Using a String Matching Algorithm
Salt Lake City, Utah June 22-June 23
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.2006.5519th IEEE Symposium on Computer-Based ...
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Jongwoo Kim, National Library of Medicine, USA
Daniel X. Le, National Library of Medicine, USA
George R. Thoma, National Library of Medicine, USA
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%.
Citation:
Jongwoo Kim, Daniel X. Le, George R. Thoma, "Automatic Extraction of Bibliographic Information from Biomedical Online Journal Articles Using a String Matching Algorithm," cbms, pp.905-912, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06), 2006
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