Title
Combining Disparate Ontologies using Machine Learning to Resolve Polysemy
Funding Agency
QUERTLE.com LLC
Amount
$9,750.00
Starting date
5-18-2015
Duration
3 months (Continuing)
Abstract
1. Convert UMLS to a format that is consistent with the Quertle system 2. Define the overlaps between UMLS and Quertle’s own ontology and reconcile any conflicts 3. Develop machine learning methods to disambiguate polysemic terms
Document Type
Metadata Only
Recommended Citation
Hoque, Tamjidul, "Combining Disparate Ontologies using Machine Learning to Resolve Polysemy" (2015). Computer Science - Grants and Contracts. Paper 6.
https://scholarworks.uno.edu/cs_grants/6
COinS