most citedUsing association rule mining and ontologies to generate metadata recommendations from multiple biomedical databases

26 citations · 26 across the 1 of their papers we have counts for

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1 paper

cs.DB2019★ 26 cited

Using association rule mining and ontologies to generate metadata recommendations from multiple biomedical databases

Marcos Martínez-Romero, Martin J. O'Connor, Attila L. Egyedi +4

Metadata-the machine-readable descriptions of the data-are increasingly seen as crucial for describing the vast array of biomedical datasets that are currently being deposited in p…