Work

Biomedical informatics and granularity

Year: 2004

Type: article

Abstract: An explicit formal-ontological representation of entities existing at multiple levels of granularity is an urgent requirement for biomedical information processing. We discuss some fundamental principles which can form a basis for such a representation. We also comment on some of the implicit treatments of granularity in currently available ontologies and terminologies (GO, FMA, SNOMED CT).

Source: Comparative and Functional Genomics

DOI: 10.1002/cfg.429

Authors: Anand Kumar, Barry Smith, Daniel D. Novotny

Institutions: Saarland University, University at Buffalo, State University of New York

Language: English

Topic: Biomedical Text Mining and Ontologies

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: hybrid

Funders: Alexander von Humboldt-Stiftung, European Commission, Volkswagen Foundation

OpenAlex ID: W2158648246