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Found 3 papers, 0 papers with code
Using association rule mining and ontologies to generate metadata recommendations from multiple biomedical databases
The results show that our approach is able to use analyses of previous entered metadata coupled with ontology-based mappings to present users with accurate recommendations when authoring metadata.
Metadata in the BioSample Online Repository are Impaired by Numerous Anomalies
Only 9 out of 452 BioSample-specified fields ordinarily require ontology terms as values, and the quality of these controlled fields is better than that of uncontrolled ones, as even simple binary or numeric fields are often populated with inadequate values of different data types (e. g., only 27% of Boolean values are valid).
Databases
NCBO Ontology Recommender 2.0: An Enhanced Approach for Biomedical Ontology Recommendation
To overcome this problem, in 2010 the National Center for Biomedical Ontology (NCBO) released the Ontology Recommender, which is a service that receives a biomedical text corpus or a list of keywords and suggests ontologies appropriate for referencing the indicated terms.
