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Table 7 Evaluation of AML’s matching pipeline in the Anatomy and FMA-NCI small tasks with different combinations of background knowledge information source (lexical vs. cross-references) and usage strategies (mediator vs. lexical expansion)

From: Tackling the challenges of matching biomedical ontologies

Task

BK info

BK usage

Precision

Recall

F-measure

Anatomy

Lexical

Mediator

94.8%

91.0%

92.9%

 

(1365-1352)

Expansion

94.6%

90.2%

92.4%

 

Cross-refs

Mediator

93.4%

92.5%

93.0%

 

(1389-1401)

Expansion

95.0%

93.6%

94.3%

FMA-NCI small

Lexical

Mediator

93.9%

91.7%

92.8%

 

(1624-1598)

Expansion

93.6%

91.5%

92.5%

 

Cross-refs

Mediator

95.8%

91.0%

93.3%

 

(1541-1559)

Expansion

94.2%

92.0%

93.1%

  1. The number of classes of the two input ontologies covered by each information source is shown within parentheses below the source in each dataset