BayesianLogicNetwork.java

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package edu.tum.cs.srl.bayesnets.bln;

import java.io.IOException;

import edu.tum.cs.logic.Formula;
import edu.tum.cs.logic.KnowledgeBase;
import edu.tum.cs.logic.parser.ParseException;
import edu.tum.cs.srl.Database;
import edu.tum.cs.srl.bayesnets.MLNConverter;
import edu.tum.cs.srl.bayesnets.RelationalBeliefNetwork;
import edu.tum.cs.srl.mln.MarkovLogicNetwork;

public class BayesianLogicNetwork extends AbstractBayesianLogicNetwork {

        public KnowledgeBase kb;
        
        public BayesianLogicNetwork(RelationalBeliefNetwork rbn, String logicFile) throws IOException, ParseException {
                super(rbn, logicFile);
                kb = new KnowledgeBase(logicFile);
        }
        
        public MarkovLogicNetwork toMLN() throws Exception {
                MLNConverter.MLNObjectWriter converter = new MLNConverter.MLNObjectWriter();
                this.rbn.toMLN(converter, false, false);
                for(Formula f : kb) {
                        converter.addHardFormula(f);
                }
                return converter.getMLN();
        }

        @Override
        public GroundBLN ground(Database db) throws Exception {
                return new GroundBLN(this, db);
        }
}

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srldb
Author(s): Dominik Jain, Stefan Waldherr, Moritz Tenorth
autogenerated on Fri Jan 11 09:58:29 2013