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

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 becom...

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Bibliographic Details
Published inStudies in health technology and informatics Vol. 245; p. 1338
Main Authors Sun, Haixia, Li, Junlian, Wu, Yingjie, Wang, Lei, Fung, Kin Wah
Format Journal Article
LanguageEnglish
Published Netherlands 2017
Subjects
Authorship
Biological Ontologies
Databases, Factual
Knowledge Bases
Metadata
Information Management
Databases
Organizational Affiliation
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Summary: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.
ISSN:0926-9630
DOI:10.3233/978-1-61499-830-3-1338