article Open AccessTop 1% cited
Relations in biomedical ontologies
Genome biology · 2005 · Vol. 6(5) · pp. R46–R46
Barry Smith✉(Saarland University)Werner Ceusters(Saarland University)Bert R. E. Klagges(Leipzig University)Jacob Köhler(Rothamsted Research)Anand Kumar(University of Manchester)Jane Lomax(European Bioinformatics Institute)Chris Mungall(University of California, Berkeley)Fabian Neuhaus(Saarland University)Alan Rector(University of Washington)Cornelius Rosse(University of Washington)
Abstract
To enhance the treatment of relations in biomedical ontologies we advance a methodology for providing consistent and unambiguous formal definitions of the relational expressions used in such ontologies in a way designed to assist developers and users in avoiding errors in coding and annotation. The resulting Relation Ontology can promote interoperability of ontologies and support new types of automated reasoning about the spatial and temporal dimensions of biological and medical phenomena.
Biomedical Text Mining and OntologiesSemantic Web and Ontologieslinguistics and terminology studiesBiologyGenome BiologyHuman geneticsComputational biologyEvolutionary biologyComputational genomicsGenomicsGeneticsGenomeGene
MeSH terms
Terminology as TopicVocabulary, ControlledComputational BiologyBiomedical Research
Funding
- Alexander von Humboldt-Stiftung
- Volkswagen Foundation
- Defense Advanced Research Projects Agency
Citations
1,040
FWCI
30.02
field-weighted impact
References
41
Percentile
100%
vs. same field & year
Citations per year
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References
<b>WordNet: An electronic lexical database</b> . Ed. by Christiane Fellbaum. Cambridge, MA: MIT Press, 1998. Pp. xxii, 423.
Language · 2000 · 11,658 citations
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