Change search
ReferencesLink to record
Permanent link

Direct link
From Concept Representations to Ontologies: A Paradigm Shift in Health Informatics?
Institute for Medical Informatics, Statistics and Documentation, Medical University of Graz, Austria.
European Centre for Disease Prevention and Control, Stockholm, Sweden.
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
National Library of Medicine, National Institutes of Health, Bethesda, MD, USA.
2013 (English)In: Healthcare informatics research, ISSN 2093-3681, EISSN 2093-369X, Vol. 19, no 4, 235-242 p.Article in journal (Refereed) Published
Abstract [en]

OBJECTIVES: This work aims at uncovering challenges in biomedical knowledge representation research by providing an understanding of what was historically called "medical concept representation" and used as the name for a working group of the International Medical Informatics Association.

METHODS: Bibliometrics, text mining, and a social media survey compare the research done in this area between two periods, before and after 2000.

RESULTS: Both the opinion of socially active groups of researchers and the interpretation of bibliometric data since 1988 suggest that the focus of research has moved from "medical concept representation" to "medical ontologies".

CONCLUSIONS: It remains debatable whether the observed change amounts to a paradigm shift or whether it simply reflects changes in naming, following the natural evolution of ontology research and engineering activities in the 1990s. The availability of powerful tools to handle ontologies devoted to certain areas of biomedicine has not resulted in a large-scale breakthrough beyond advances in basic research.

Place, publisher, year, edition, pages
2013. Vol. 19, no 4, 235-242 p.
National Category
Other Medical Engineering
URN: urn:nbn:se:liu:diva-107073DOI: 10.4258/hir.2013.19.4.235PubMedID: 24523987OAI: diva2:721587
Available from: 2014-06-04 Created: 2014-06-04 Last updated: 2014-11-17Bibliographically approved

Open Access in DiVA

fulltext(574 kB)78 downloads
File information
File name FULLTEXT01.pdfFile size 574 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Other links

Publisher's full textPubMed

Search in DiVA

By author/editor
Cornet, Ronald
By organisation
Medical InformaticsThe Institute of Technology
Other Medical Engineering

Search outside of DiVA

GoogleGoogle Scholar
Total: 78 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 197 hits
ReferencesLink to record
Permanent link

Direct link