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

Haixia Sun; Junlian Li; Yingjie Wu; Lei Wang; Kin Wah Fung

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

Stud Health Technol Inform. 2017:245:1338.

Authors

Haixia Sun¹, Junlian Li¹, Yingjie Wu¹, Lei Wang¹, Kin Wah Fung²

Affiliations

¹ Institute of Medical Information, Chinese Academy of Medical Sciences, Beijing, China.
² National Library of Medicine, Bethesda, MD, USA.

PMID: 29295419

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.

Keywords: Databases; Information Management; Organizational Affiliation.

MeSH terms

Authorship*
Biological Ontologies
Databases, Factual*
Knowledge Bases*
Metadata*