Demleitner M; Kurtz M; Accomazzi A; Gunther E; Grant CS; Murray SS; "Automated resolution of noisy bibliographic references" Classification, Clustering, and Data Mining Applications. 2004, p.521-530 . Springer-Verlag Berlin, Berlin

[Eugene Garfield]

Markus Demleitner : msdemlei at cl.uni-heidelberg.de

FULL TEXT AVAILABLE AT :
http://arxiv.org/PS_cache/cs/pdf/0401/0401028.pdf


Title    : Automated resolution of noisy bibliographic references
Author(s): Demleitner M; Kurtz M; Accomazzi A; Gunther E;
           Grant CS; Murray SS
Source:    Classification, Clustering, and Data Mining Applications. 2004,
           p.521-530 . Springer-Verlag Berlin, Berlin


Language: English

Author Address : Demeleitner M, Univ Heidelbergm Bergheimer Str 58,
Heidelberg, Germany

Summary : We describe a system used by the NASA Astrophysics Data System to
identify bibliographic references obtained from scanned article pages by OCR
methods with records in a bibliographic database.  We analyse the process
generating the noisy references and conclude that the three-step procedure
of correcting the OCR results, parsing the corrected string and matching it
against the database provides unsatisfactory results. Instead, we propose a
method that allows a controlled merging of correction, parsing and matching,
inspired by dependency grammars.  We also report on the effectiveness of
various heuristics that we have employed to improve recall.