title: Toward (semi-)automatic generation of bio-medical ontologies.
abstract: The design and construction of domain specific ontologies and taxonomies requires allocation of huge resources in terms of cost and time. These efforts are human intensive and we need to explore ways of minimizing human involvement and other resources. In the biomedical domain, we seek to leverage resources such as the UMLS Metathesaurus and NLP-based applications such as MetaMap in conjunction with statistical clustering techniques, to (partially) automate the process. This is expected to be useful to the team involved in developing MeSH and other biomedical taxonomies to identify gaps in the existing taxonomies, and to be able to quickly bootstrap taxonomy generation for new research areas in biomedical informatics.
authors.affiliation: National Library of Medicine, Bethesda, MD, USA. kashyap@nlm.nih.gov
authors.forename: Vipul
authors.initials: V
authors.lastname: Kashyap
authors.forename: Cartic
authors.initials: C
authors.lastname: Ramakrishnan
authors.forename: Thomas C
authors.initials: TC
authors.lastname: Rindflesch
mesh_terms: D000465:Algorithms; D001330:Electronic Data Processing; D046650:Medical Subject Headings; D018875:Vocabulary, Controlled