The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Biomedical ontologies: a functional perspective
Open accessAbstract
The information explosion in biology makes it difficult for researchers to stay abreast of current biomedical knowledge and to make sense of the massive amounts of online information. Ontologies--specifications of the entities, their attributes and relationships among the entities in a domain of discourse--are increasingly enabling biomedical researchers to accomplish these tasks. In fact, bio-ontologies are beginning to proliferate in step with accruing biological data. The myriad of ontologies being created enables researchers not only to solve some of the problems in handling the data explosion but also introduces new challenges. One of the key difficulties in realizing the full potential of ontologies in biomedical research is the isolation of various communities involved: some workers spend their career developing ontologies and ontology-related tools, while few researchers (biologists and physicians) know how ontologies can accelerate their research. The objective of this review is to give an overview of biomedical ontology in practical terms by providing a functional perspective--describing how bio-ontologies can and are being used. As biomedical scientists begin to recognize the many different ways ontologies enable biomedical research, they will drive the emergence of new computer applications that will help them exploit the wealth of research data now at their fingertips.
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Cites
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Cited by
Biomedical Ontologies in Action: Role in Knowledge Management, Data Integration and Decision Support
Bodenreider, O. (2008) · Yearbook of Medical Informatics · doi:10.1055/s-0038-1638585 · Cited by 368
Controlled vocabularies and semantics in systems biology
Courtot, M., Juty, N., Knüpfer, C., Waltemath, D., Zhukova, A., Dräger, A., Dumontier, M., Finney, A., Golebiewski, M., Hastings, J., et al. (2011) · Molecular Systems Biology · doi:10.1038/msb.2011.77 · Cited by 316
“Ontologies are formal representations of knowledge with definitions of concepts, their attributes and relations between them expressed in terms of axioms in a well-defined logic (Rubin et al , 2008).”
BackgroundA survey on clinical natural language processing in the United Kingdom from 2007 to 2022
Wu, H., Wang, M., Wu, J., Francis, F., Chang, Y.-H., Shavick, A., Dong, H., Poon, M. T. C., Fitzpatrick, N., Levine, A. P., et al. (2022) · npj Digital Medicine · doi:10.1038/s41746-022-00730-6 · Cited by 101
Semantic Web meets Integrative Biology: a survey
Chen, H., Yu, T., & Chen, J. Y. (2013) · Briefings in Bioinformatics · doi:10.1093/bib/bbs014 · Cited by 65
Mortensen, J. M., Minty, E. P., Januszyk, M., Sweeney, T. E., Rector, A. L., Noy, N. F., & Musen, M. A. (2015) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2014-002901 · Cited by 63
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Metadata
- Authors
- Rubin, D. L., Shah, N. H., & Noy, N. F.
- Venue
- Briefings in Bioinformatics
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-10-23
- Volume
- 9
- Issue
- 1
- Pages
- 75-90
- ISSN
- 1467-5463 (ISSN-L)
- 1477-4054
- OpenAlex
- W2091729411
- Cited by
- 287
- References
- 50
- FWCI
- 6.70
- Type
- journal article
- Language
- en
- Open access
- bronze
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