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.
| System | R | P | F | Runtime (second) |
| Task1: whole FMA and NCI ontologies | XMap | 0.85 | 0.88 | 0.87 | 130 | AML | 0.87 | 0.84 | 0.86 | 77 | YAM-BIO | 0.89 | 0.82 | 0.85 | 279 | LogMap | 0.81 | 0.86 | 0.83 | 92 | LogMapBio | 0.83 | 0.82 | 0.83 | 1552 | LogMapLite | 0.82 | 0.67 | 0.74 | 10 | Tooll | 0.74 | 0.69 | 0.71 | 1650 | PBIL | 0.76 | 0.88 | 0.78 | 22 | Our approach | 0.87 | 0.89 | 0.88 | 72 |
| Task2: whole FMA and SNOMED ontologies | XMap | 0.84 | 0.77 | 0.81 | 625 | YAM-BIO | 0.73 | 0.89 | 0.80 | 468 | AML | 0.69 | 0.88 | 0.77 | 177 | LogMap | 0.65 | 0.84 | 0.73 | 477 | LogMapBio | 0.65 | 0.81 | 0.72 | 2951 | LogMapLite | 0.21 | 0.85 | 0.34 | 18 | Tooll | 0.13 | 0.87 | 0.23 | 2140 | PBIL | 0.72 | 0.74 | 0.72 | 147 | Our approach | 0.81 | 0.84 | 0.82 | 183 |
| Task3: whole SNOMED and NIC ontologies | AML | 0.67 | 0.90 | 0.77 | 312 | YAM-BIO | 0.70 | 0.83 | 0.76 | 490 | LogMapBio | 0.64 | 0.84 | 0.73 | 4728 | LogMap | 0.60 | 0.87 | 0.71 | 652 | LogMapLite | 0.57 | 0.80 | 0.66 | 22 | XMap | 0.55 | 0.82 | 0.66 | 563 | Tooll | 0.22 | 0.81 | 0.34 | 1105 | PBIL | 0.64 | 0.81 | 0.71 | 304 | Our approach | 0.73 | 0.88 | 0.79 | 326 |
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