slib.sml.sm.core.measures.graph.framework.dag
Class Sim_Framework_DAG_Set_Maryland_Bridge_2003

java.lang.Object
  extended by slib.sml.sm.core.measures.graph.framework.dag.Sim_Framework_DAG_Set_abstract
      extended by slib.sml.sm.core.measures.graph.framework.dag.Sim_Framework_DAG_Set_Maryland_Bridge_2003
All Implemented Interfaces:
Sim_Pairwise_DAG, Sim_Groupwise, Sim_Groupwise_Direct, Sim_Pairwise

public class Sim_Framework_DAG_Set_Maryland_Bridge_2003
extends Sim_Framework_DAG_Set_abstract

Mirkin B, Koonin E: A top-down method for building genome classification trees with linear binary hierarchies. In Bioconsensus: DIMACS Working Group Meetings on Bioconsensus: October 25-26, 2000 and October 2-5, 2001, DIMACS Center. Amer Mathematical Society; 2003, 61:97.

Author:
Sebastien Harispe

Constructor Summary
Sim_Framework_DAG_Set_Maryland_Bridge_2003()
           
 
Method Summary
 boolean isSymmetric()
           
 double sim(Set<org.openrdf.model.URI> ancA, Set<org.openrdf.model.URI> ancB, SMconf conf)
          This provide a way to compare the two sets of concepts which have been extended considering inference based on the taxonomic hierarchy.
 
Methods inherited from class slib.sml.sm.core.measures.graph.framework.dag.Sim_Framework_DAG_Set_abstract
sim, sim
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

Sim_Framework_DAG_Set_Maryland_Bridge_2003

public Sim_Framework_DAG_Set_Maryland_Bridge_2003()
Method Detail

sim

public double sim(Set<org.openrdf.model.URI> ancA,
                  Set<org.openrdf.model.URI> ancB,
                  SMconf conf)
Description copied from class: Sim_Framework_DAG_Set_abstract
This provide a way to compare the two sets of concepts which have been extended considering inference based on the taxonomic hierarchy. In other words, each vertex of the set already contains all its ancestors in the set.

Specified by:
sim in class Sim_Framework_DAG_Set_abstract
Parameters:
ancA - the first set
ancB - the second set
conf - the configuration to apply to compute the semantic similarity
Returns:
the similarity of the two sets.

isSymmetric

public boolean isSymmetric()


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