title: Bio-ontologies: current trends and future directions.
abstract: In recent years, as a knowledge-based discipline, bioinformatics has been made more computationally amenable. After its beginnings as a technology advocated by computer scientists to overcome problems of heterogeneity, ontology has been taken up by biologists themselves as a means to consistently annotate features from genotype to phenotype. In medical informatics, artifacts called ontologies have been used for a longer period of time to produce controlled lexicons for coding schemes. In this article, we review the current position in ontologies and how they have become institutionalized within biomedicine. As the field has matured, the much older philosophical aspects of ontology have come into play. With this and the institutionalization of ontology has come greater formality. We review this trend and what benefits it might bring to ontologies and their use within biomedicine.
authors.affiliation: National Library of Medicine, Bethesda, MD 20894, USA. olivier@nlm.nih.gov
authors.forename: Olivier
authors.initials: O
authors.lastname: Bodenreider
authors.forename: Robert
authors.initials: R
authors.lastname: Stevens
mesh_terms: D000818:Animals; D001185:Artificial Intelligence; D023281:Genomics / Q000379:methods / Q000639:trends; D006801:Humans; D009323:Natural Language Processing; D049490:Systems Biology / Q000379:methods / Q000639:trends; D018875:Vocabulary, Controlled