Using an Ontology-Based Approach to Handle Author Affiliations in a Large Biomedical Citation Database.

Journal: Studies in health technology and informatics
Published Date: Jan 1, 2017

Abstract

To handle differences in affiliation names submitted with biomedical journal articles, we build an affiliation knowledge base named Authority File for Affiliations (AFA) based on ontology principles. There are currently 113,700 affiliation concepts with about 583,700 affiliation names. The AFA becomes an essential tool in managing citation information and data analysis.

Authors

  • Haixia Sun
    Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing, China.
  • Junlian Li
    Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing, China.
  • Yingjie Wu
    Sichuan University - Pittsburgh Institute (SCUPI), Sichuan University, Chengdu, 610207, China. yingjie.wu@scu.edu.cn.
  • Lei Wang
    Department of Nursing, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, China.
  • Kin Wah Fung
    National Library of Medicine, Bethesda, MD, USA.

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