/* 
 *  Copyright or © or Copr. Ecole des Mines d'Alès (2012-2014) 
 *  
 *  This software is a computer program whose purpose is to provide 
 *  several functionalities for the processing of semantic data 
 *  sources such as ontologies or text corpora.
 *  
 *  This software is governed by the CeCILL  license under French law and
 *  abiding by the rules of distribution of free software.  You can  use, 
 *  modify and/ or redistribute the software under the terms of the CeCILL
 *  license as circulated by CEA, CNRS and INRIA at the following URL
 *  "http://www.cecill.info". 
 * 
 *  As a counterpart to the access to the source code and  rights to copy,
 *  modify and redistribute granted by the license, users are provided only
 *  with a limited warranty  and the software's author,  the holder of the
 *  economic rights,  and the successive licensors  have only  limited
 *  liability. 

 *  In this respect, the user's attention is drawn to the risks associated
 *  with loading,  using,  modifying and/or developing or reproducing the
 *  software by the user in light of its specific status of free software,
 *  that may mean  that it is complicated to manipulate,  and  that  also
 *  therefore means  that it is reserved for developers  and  experienced
 *  professionals having in-depth computer knowledge. Users are therefore
 *  encouraged to load and test the software's suitability as regards their
 *  requirements in conditions enabling the security of their systems and/or 
 *  data to be ensured and,  more generally, to use and operate it in the 
 *  same conditions as regards security. 
 * 
 *  The fact that you are presently reading this means that you have had
 *  knowledge of the CeCILL license and that you accept its terms.
 */
package slib.sml.sm.core.measures.graph.pairwise.dag.node_based;

import org.openrdf.model.URI;
import slib.sml.sm.core.engine.SM_Engine;
import slib.sml.sm.core.utils.SMconf;
import slib.utils.ex.SLIB_Exception;
import slib.utils.impl.SetUtils;

/**
 * Feature-based formulation of the Tversky Ratio Model.
 * A concept is represented as its sets of inclusive subsumers.
 * Note that the commonality is assessed based on the size of the intersection of the inclusive subsumers of the two compared concepts (which is, in some cases, not the same as the inclusive ancestors of a single common subsumer of the two concepts, i.e. feature-like definition of the MICA/LCA ).
 *
 * @author Sébastien Harispe (sebastien.harispe@gmail.com)
 *
 */
public class Sim_pairwise_DAG_node_Feature_Tversky_Ratio_Model extends Sim_pairwise_DAG_node_IC_Tversky_Ratio_Model {

    public Sim_pairwise_DAG_node_Feature_Tversky_Ratio_Model() {}

    /**
     * Create a Tversky measure specifying alpha and beta parameters
     * @param alpha
     * @param beta
     */
    public Sim_pairwise_DAG_node_Feature_Tversky_Ratio_Model(double alpha, double beta) {
        super(alpha,beta);
    }

    @Override
    public double compare(URI a, URI b, SM_Engine c, SMconf conf) throws SLIB_Exception {

        if (conf != null && conf.containsParam(alpha_param_name)) {
            alpha = conf.getParamAsDouble(alpha_param_name);
        }

        if (conf != null && conf.containsParam(beta_param_name)) {
            beta = conf.getParamAsDouble(beta_param_name);
        }

        double ic_a = c.getAncestorsInc(a).size();
        double ic_b = c.getAncestorsInc(b).size();
        
        double ic_MICA = SetUtils.intersection(c.getAncestorsInc(a), c.getAncestorsInc(b)).size();
        
        return sim(ic_a, ic_b, ic_MICA, alpha, beta);
    }
}
