Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2008:67-79.

Biomedical ontologies in action: role in knowledge management, data integration and decision support

Affiliations

Biomedical ontologies in action: role in knowledge management, data integration and decision support

O Bodenreider. Yearb Med Inform. 2008.

Abstract

Objectives: To provide typical examples of biomedical ontologies in action, emphasizing the role played by biomedical ontologies in knowledge management, data integration and decision support.

Methods: Biomedical ontologies selected for their practical impact are examined from a functional perspective. Examples of applications are taken from operational systems and the biomedical literature, with a bias towards recent journal articles.

Results: The ontologies under investigation in this survey include SNOMED CT, the Logical Observation Identifiers, Names, and Codes (LOINC), the Foundational Model of Anatomy, the Gene Ontology, RxNorm, the National Cancer Institute Thesaurus, the International Classification of Diseases, the Medical Subject Headings (MeSH) and the Unified Medical Language System (UMLS). The roles played by biomedical ontologies are classified into three major categories: knowledge management (indexing and retrieval of data and information, access to information, mapping among ontologies); data integration, exchange and semantic interoperability; and decision support and reasoning (data selection and aggregation, decision support, natural language processing applications, knowledge discovery).

Conclusions: Ontologies play an important role in biomedical research through a variety of applications. While ontologies are used primarily as a source of vocabulary for standardization and integration purposes, many applications also use them as a source of computable knowledge. Barriers to the use of ontologies in biomedical applications are discussed.

PubMed Disclaimer

Figures

Fig. 1
Fig. 1
Evolution of the number of citations in PubMed/MEDLINE on ontologies and controlled vocabularies over the past 10 years (excluding DSM, the Diagnostic and Statistical Manual of Mental Disorders)
Fig. 2
Fig. 2
Evolution of the proportion of citations in PubMed/MEDLINE by ontology.

References

    1. Gersenovic M. The ICD family of classifications. Methods Inf Med. 1995;34(1–2):172–175. - PubMed
    1. McCray AT. Conceptualizing the world: lessons from history. J Biomed Inform. 2006;39(3):267–273. - PubMed
    1. Chute CG. Clinical classification and terminology: some history and current observations. J Am Med Inform Assoc. 2000;7(3):298–303. - PMC - PubMed
    1. Smith B, Kusnierczyk W, Schober D, Ceusters W. Towards a reference terminology for ontology research and development in the biomedical domain. In: Bodenreider O, editor. Proceedings of the Second International Workshop on Formal Biomedical Knowledge Representation (KR-MED 2006); 2006. pp. 57–65.
    1. Ontology, Taxonomy, Folksonomy: Understanding the Distinctions. http://ontolog.cim3.net/cgi-bin/wiki.pl?OntologySummit2007_Communique.

Publication types

LinkOut - more resources