Document Detail


Desiderata for domain reference ontologies in biomedicine.
MedLine Citation:
PMID:  16266830     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
Anita Burgun
Publication Detail:
Type:  Journal Article     Date:  2005-10-17
Journal Detail:
Title:  Journal of biomedical informatics     Volume:  39     ISSN:  1532-0480     ISO Abbreviation:  J Biomed Inform     Publication Date:  2006 Jun 
Date Detail:
Created Date:  2006-05-15     Completed Date:  2006-07-17     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  100970413     Medline TA:  J Biomed Inform     Country:  United States    
Other Details:
Languages:  eng     Pagination:  307-13     Citation Subset:  IM    
Affiliation:
EA 3888, Faculté de Médecine, IFR 140, Université de Rennes I, France. Anita.Burgun@univ-rennes1.fr
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MeSH Terms
Descriptor/Qualifier:
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

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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