Combining Disparate Ontologies using Machine Learning to Resolve Polysemy
3 months (Continuing)
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
Hoque, Tamjidul, "Combining Disparate Ontologies using Machine Learning to Resolve Polysemy" (2015). Computer Science - Grants and Contracts. Paper 6.
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