Biomedical ontology alignment: an approach based on representation learning

Table 2 Performance of ontology matching systems across the different matching tasks.

System	MA - NCI			FMA-NCI			FMA-SNOMED
	P	R	F1	P	R	F1	P	R	F1
AML	0.943	0.94	0.941	0.908	0.94	0.924	0.938	0.784	0.854
CroMatcher	0.942	0.912	0.927	-	-	-	-	-	-
XMap	0.924	0.877	0.9	-	-	-	-	-	-
FCA_Map	0.922	0.841	0.880	0.89	0.947	0.918	0.918	0.857	0.886
LogMap	0.906	0.850	0.878	0.894	0.930	0.912	0.933	0.721	0.814
LogMapBio	0.875	0.900	0.887	0.88	0.938	0.908	0.93	0.727	0.816
Wieting	0.804	0.879	0.839	0.840	0.857	0.849	0.867	0.851	0.859
Wieting+DAE(O)	0.952	0.871	0.909	0.909	0.851	0.879	0.929	0.832	0.878
SCBOW	0.847	0.917	0.881	0.899	0.895	0.897	0.843	0.866	0.855
SCBOW+DAE(O)	0.968	0.913	0.94	0.976	0.892	0.932	0.931	0.856	0.892

Note: Bold and underlined numbers indicate the best F1-score and the best precision on each matching task, respectively

ISSN: 2041-1480