Results OAEI 2014::Large BioMed Track
The following tables summarize the results for the tasks in the SNOMED-NCI matching problem.
AML provided the best results in terms of both Recall and F-measure in Task 5, while OMReasoner provided the best results in terms of precision. Task 6 was completely dominated by AML.
As in the previous matching problems, efficiency decreases as the ontology size increases. Furthermore, AOT, AOTL, RSDLWB could no complete neither Task 5 nor Task 6 in less than 10 hours. MaasMatch rose a "stack overflow" exception in Task 5 and an "out of memory" exception in Task 6, while OMReasoner could not complete Task 6 within the permitted time.
System | Time (s) | # Mappings | Scores | Incoherence Analysis | |||
Precision | Recall | F-measure | Unsat. | Degree | |||
AML | 831 | 14,131 | 0.917 | 0.724 | 0.809 | ≥0 | ≥0.0% |
LogMap-Bio | 1,379 | 14,360 | 0.880 | 0.709 | 0.786 | ≥23 | ≥0.031% |
LogMap | 263 | 14,011 | 0.889 | 0.699 | 0.783 | ≥23 | ≥0.031% |
XMap | 182 | 14,223 | 0.849 | 0.665 | 0.746 | ≥65,512 | ≥87.1% |
Average | 1,522 | 12,177 | 0.911 | 0.611 | 0.722 | 23,078 | 30.7% |
LogMapLite | 76 | 10,962 | 0.948 | 0.567 | 0.710 | ≥60,426 | ≥80.3% |
LogMap-C | 2,723 | 10,432 | 0.909 | 0.531 | 0.670 | ≥0 | ≥0.0% |
OMReasoner | 5,206 | 7,120 | 0.983 | 0.383 | 0.551 | ≥35,568 | ≥47.3% |
System | Time (s) | # Mappings | Scores | Incoherence Analysis | |||
Precision | Recall | F-measure | Unsat. | Degree | |||
AML | 497 | 12,626 | 0.912 | 0.645 | 0.756 | ≥0 | ≥0.0% |
LogMap-Bio | 2,545 | 12,507 | 0.852 | 0.599 | 0.703 | ≥37 | ≥0.020% |
LogMap | 917 | 12,167 | 0.863 | 0.590 | 0.701 | ≥36 | ≥0.019% |
XMap | 490 | 12,525 | 0.843 | 0.584 | 0.690 | ≥134,622 | ≥71.1% |
Average | 1,181 | 12,024 | 0.858 | 0.575 | 0.687 | 47,578 | 25.1% |
LogMapLite | 89 | 12,907 | 0.798 | 0.567 | 0.663 | ≥150,776 | ≥79.6% |
LogMap-C | 2,548 | 9,414 | 0.880 | 0.464 | 0.608 | ≥1 | ≥0.001% |