Document Type
Conference Proceeding
Publication Date
11-2003
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 UMLS1 Metathesaurus and NLP-based applications such as MetaMap2 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.
Repository Citation
Kashyap, V.,
Ramakrishnan, C.,
& Rindflesch, T.
(2003). Towards (Semi-) Automatic Generation of Bio-Medical Ontologies. AMIA Annual Symposium Proceedings, 2003, 886-886.
https://corescholar.libraries.wright.edu/knoesis/971
Included in
Bioinformatics Commons, Communication Technology and New Media Commons, Databases and Information Systems Commons, OS and Networks Commons, Science and Technology Studies Commons
Comments
Presented at the AMIA Annual Symposium on Biomedical and Health Informatics, Washington, DC, November 8-12, 2003.