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PMID: 16266830 Published · ppublish English Journal Article

Desiderata for domain reference ontologies in biomedicine.

Journal of biomedical informatics ·Vol. 39 ·No. 3 ·2006-06-00 ·Pages 307-13

Burgun A

Abstract

Domain reference ontologies represent knowledge about a particular part of the world in a way that is independent from specific objectives, through a theory of the domain. An example of reference ontology in biomedical informatics is the Foundational Model of Anatomy (FMA), an ontology of anatomy that covers the entire range of macroscopic, microscopic, and subcellular anatomy. The purpose of this paper is to explore how two domain reference ontologies--the FMA and the Chemical Entities of Biological Interest (ChEBI) ontology, can be used (i) to align existing terminologies, (ii) to infer new knowledge in ontologies of more complex entities, and (iii) to manage and help reasoning about individual data. We analyze those kinds of usages of these two domain reference ontologies and suggest desiderata for reference ontologies in biomedicine. While a number of groups and communities have investigated general requirements for ontology design and desiderata for controlled medical vocabularies, we are focusing on application purposes. We suggest five desirable characteristics for reference ontologies: good lexical coverage, good coverage in terms of relations, compatibility with standards, modularity, and ability to represent variation in reality.

MeSH Terms
Anatomy/methods Biology/methods Biomedical Technology/methods Computational Biology/methods Humans Knowledge Medical Informatics Computing Philosophy Systematized Nomenclature of Medicine Terminology as Topic Vocabulary, Controlled
Authors & Affiliations
1 authors, click to expand affiliations / ORCID
Burgun Anita
EA 3888, Faculté de Médecine, IFR 140, Université de Rennes I, France. [email protected]
Article Info
Journal
Journal of biomedical informatics
Abbr.
J Biomed Inform
ISSN
1532-0480
Published
2006-06-00
Epub
2005-00-17
Pages
307-13
Language
English
Region
United States
NLM ID
100970413
Subset
IM
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