Skip to main content

Table 7 Summary of the results for randomly generated ontologies

From: FEDRR: fast, exhaustive detection of redundant hierarchical relations for quality improvement of large biomedical ontologies

(N,E,Cmin,Cmax) # Layers TC RR RR% T(ms)  
(500,000, 550,000, 2, 5) 12 5,957,690 6 0.0001 5,847  
(500,000, 550,000, 2, 10) 8 4,036,792 12 0.0003 5,212  
(500,000, 550,000, 2, 20) 6 3,000,751 7 0.0002 5,637  
(500,000, 600,000, 2, 20) 6 3,567,691 13 0.00036 5,449  
(500,000, 700,000, 2, 20) 6 4,190,494 34 0.00081 5,332  
(500,000, 900,000, 2, 20) 6 7,104,749 109 0.00153 8,183  
(500,000, 1,300,000, 2, 20) 6 25,934,499 1,404 0.0054 33,235  
(1,000,000, 1,200,000, 2, 20) 7 7,071,813 21 0.0003 18,051  
(1,000,000, 1,400,000, 2, 20) 7 8,694,703 133 0.0015 11,582  
  1. N: number of concepts, E: number of is-a relations, Cmin/Cmax: minimum/maximum number of children a node can have, TC: number of transitive closure pairs, RR: number of redundant is-a relations, T(ms): time taken in milliseconds
Back to article page

BioData Mining

ISSN: 1756-0381

\