Research Article

Using Compact Coevolutionary Algorithm for Matching Biomedical Ontologies

Table 2

Comparison of our approach with the participants in OAEI 2017 on the Large Biomed track.

SystemRPFRuntime (second)

Task1: whole FMA and NCI ontologies
XMap0.850.880.87130
AML0.870.840.8677
YAM-BIO0.890.820.85279
LogMap0.810.860.8392
LogMapBio0.830.820.831552
LogMapLite0.820.670.7410
Tooll0.740.690.711650
PBIL0.760.880.7822
Our approach0.870.890.8872

Task2: whole FMA and SNOMED ontologies
XMap0.840.770.81625
YAM-BIO0.730.890.80468
AML0.690.880.77177
LogMap0.650.840.73477
LogMapBio0.650.810.722951
LogMapLite0.210.850.3418
Tooll0.130.870.232140
PBIL0.720.740.72147
Our approach0.810.840.82183

Task3: whole SNOMED and NIC ontologies
AML0.670.900.77312
YAM-BIO0.700.830.76490
LogMapBio0.640.840.734728
LogMap0.600.870.71652
LogMapLite0.570.800.6622
XMap0.550.820.66563
Tooll0.220.810.341105
PBIL0.640.810.71304
Our approach0.730.880.79326