Relations in biomedical ontologies
University at Buffalo, State University of New York · Saarland University · +7 more institutions
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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.
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Keywords
- Biology
- Genome Biology
- Human genetics
- Computational biology
- Evolutionary biology
- Computational genomics
- Genomics
- Genetics
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