Skip to main content
. 2015 Mar 19;10(3):e0119091. doi: 10.1371/journal.pone.0119091

Table 2. Comparison with state of the art systems: Neji, NCBO Annotator, MetaMap, ConceptMapper.

Ontology Neji NCBO Annotator MetaMap ConceptMapper Our best result
P R F1 P R F1 P R F1 P R F1 P R F1
CL 0.63 0.65 0.64 0.76 0.20 0.32 0.61 0.80 0.69 0.88 0.78 0.83 0.85 0.72 0.78
GO_CC 0.75 0.66 0.70 0.75 0.27 0.40 0.67 0.73 0.70 0.92 0.66 0.77 0.84 0.73 0.78
GO_BPMF 0.44 0.29 0.35 - - - - - - - - - 0.48 0.34 0.40
ChEBI 0.49 0.36 0.33 0.70 0.46 0.56 0.36 0.50 0.42 0.55 0.56 0.56 0.48 0.55 0.51
PRO 0.46 0.39 0.42 0.49 0.51 0.50 0.39 0.34 0.36 0.57 0.57 0.57 0.42 0.53 0.47
SO - - - 0.63 0.33 0.44 0.47 0.54 0.50 0.56 0.57 0.56 0.51 0.52 0.52

Bolded values denote the best F-Score across all methods. ConceptMapper outperforms all approaches on all ontologies. Our method achieves an increased efficiency against the other three systems on three ontologies: CL, GO_CC and SO, in addition to outperforming Neji on GO_BPMF