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Stud Health Technol Inform. 2019 Aug 21;264:1429-1430. doi: 10.3233/SHTI190468.

Linked Open Data in the Biomedical Information Area: A Keywords Analysis.

Author information

1
Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, Stockholm, Sweden.

Abstract

The objective of this paper was to determine the extent of the usage of "Linked Open Data" within biomedical literature. Applying PRISMA statement for literature reviews, forty-six papers were included in the analysis and keywords identified. Keywords have been classified according to MeSH categories, when possible. Twenty-three keywords had a frequency > one, 146 keywords had a frequency equal to one. Two MeSH categories were recurring. Future work includes applying association rules learning to keywords.

KEYWORDS:

Review Literature as Topic; Semantic Web

PMID:
31438165
DOI:
10.3233/SHTI190468
[Indexed for MEDLINE]

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