Work

Composite annotations: Requirements for mapping multiscale data and models to biomedical ontologies

Year: 2009

Type: conference-paper

Abstract: Current methods for annotating biomedical data resources rely on simple mappings between data elements and the contents of a variety of biomedical ontologies and controlled vocabularies. Here we point out that such simple mappings are inadequate for large-scale multiscale, multidomain integrative "virtual human" projects. For such integrative challenges, we describe a "composite annotation" schema that is simple yet sufficiently extensible for mapping the biomedical content of a variety of data sources and biosimulation models to available biomedical ontologies.

DOI: 10.1109/iembs.2009.5333830

Authors: D.L. Cook, J.L.V. Mejino, M.L. Neal, J.H. Gennari

Institution: University of Washington

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

Funders: National Institutes of Health, National Heart, Lung, and Blood Institute, U.S. National Library of Medicine

Awards: G1906640848, G4044408495, G470013814, G534326557

OpenAlex ID: W2120134656

FWCI: 7.927

Cites: 9

Cited by: 13

Related to: 10