slib.sml.sm.core.measures.graph.pairwise.dag.edge_based
Class Sim_pairwise_DAG_edge_Kyogoku_basic_2011

java.lang.Object
  extended by slib.sml.sm.core.measures.graph.pairwise.dag.edge_based.Sim_DAG_edge_abstract
      extended by slib.sml.sm.core.measures.graph.pairwise.dag.edge_based.Sim_pairwise_DAG_edge_Kyogoku_basic_2011
All Implemented Interfaces:
Sim_Pairwise_DAG, Sim_Pairwise

public class Sim_pairwise_DAG_edge_Kyogoku_basic_2011
extends Sim_DAG_edge_abstract

Kyogoku R, Fujimoto R, Ozaki T, Ohkawa T: A method for supporting retrieval of articles on protein structure analysis considering users ’ intention. BMC Bioinformatics 2011, 12:S42. p 2 Basic because Kyogoku propose a method to estimate edge weight

Author:
Sebastien Harispe

Constructor Summary
Sim_pairwise_DAG_edge_Kyogoku_basic_2011()
           
 
Method Summary
 boolean isSymmetric()
           
 double sim(double maxDepth, double sp_AtoB, double sp_BtoA)
          Compute the semantic similarity considering the given parameters.
 double sim(org.openrdf.model.URI a, org.openrdf.model.URI b, SM_Engine c, SMconf conf)
          Compute the semantic similarity of the pair of concepts/classes.
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

Sim_pairwise_DAG_edge_Kyogoku_basic_2011

public Sim_pairwise_DAG_edge_Kyogoku_basic_2011()
Method Detail

sim

public double sim(org.openrdf.model.URI a,
                  org.openrdf.model.URI b,
                  SM_Engine c,
                  SMconf conf)
           throws slib.utils.ex.SLIB_Exception
Description copied from interface: Sim_Pairwise
Compute the semantic similarity of the pair of concepts/classes.

Parameters:
a - the first concept/class
b - the second concept/class
c - the engine used to access information required by the measures
conf - the configuration to consider
Returns:
the similarity between the pair of concept/class.
Throws:
slib.utils.ex.SLIB_Exception

sim

public double sim(double maxDepth,
                  double sp_AtoB,
                  double sp_BtoA)
Compute the semantic similarity considering the given parameters.

Parameters:
maxDepth - Max depth the maximal depth of a class/concept in the graph.
sp_AtoB - Shortest path from A to B
sp_BtoA - Shortest path from B to A
Returns:
the similarity considering the given parameters.

isSymmetric

public boolean isSymmetric()


Copyright © 2013. All Rights Reserved.