Facilitating Full-text Access to Biomedical Literature Using Open Access Resources.
Open access (OA) resources and local libraries often have their own literature databases, especially in the field of biomedicine. We have developed a method of linking a local library to a biomedical OA resource facilitating researchers' full-text article access. The method uses a model based on vector space to measure similarities between two articles in local library and OA resources. The method achieved an F-score of 99.61%. This method of article linkage and mapping between local library and OA resources is available for use. Through this work, we have improved the full-text access of the biomedical OA resources.
Institute of Medical Information & Library, Chinese Academy of Medical Sciences, Beijing, China.
Hongyu
H
Kang
Institute of Medical Information & Library, Chinese Academy of Medical Sciences, Beijing, China.
Zhen
Z
Hou
Institute of Medical Information & Library, Chinese Academy of Medical Sciences, Beijing, China.
Jiao
J
Li
D057225:Data Mining / Q000379:methods*; D003628:Database Management Systems; D016206:Databases, Bibliographic; D000069550:Machine Learning; D066295:Open Access Publishing / Q000458:organization & administration*; D010363:Pattern Recognition, Automated / Q000379:methods*; D010506:Periodicals as Topic / Q000145:classification*; D012660:Semantics; D018875:Vocabulary, Controlled