BLN2MLN.java

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import java.io.File;

import edu.tum.cs.srl.bayesnets.ABL;
import edu.tum.cs.srl.bayesnets.RelationalBeliefNetwork;
import edu.tum.cs.srl.bayesnets.bln.BayesianLogicNetwork;
import edu.tum.cs.srl.mln.MarkovLogicNetwork;


public class BLN2MLN {

        public static void main(String[] args) {
                try {
                        if(args.length < 4) {
                                System.out.println("\n usage: BLN2MLN <declarations file> <network file> <logic file> <output file> [options] \n\n" + 
                                                             "        -cf  write compact formulas\n" 
                                                          );
                                return;
                        }                       
                        boolean compact = false;
                        for(int i = 4; i < args.length; i++) {
                                if(args[i].equals("-cf"))
                                        compact = true;
                                else {
                                        System.err.println("unknown option " + args[i]);
                                        return;
                                }
                        }
                        RelationalBeliefNetwork rbn = new ABL(args[0], args[1]);
                        BayesianLogicNetwork bln = new BayesianLogicNetwork(rbn, args[2]);
                        String outfile = args[3];
                        System.out.println("converting...");
                        MarkovLogicNetwork mln = bln.toMLN();
                        System.out.printf("saving MLN to %s...\n", outfile);
                        mln.write(new File(outfile));
                }
                catch(Exception e) {
                        e.printStackTrace();
                }
        }
}

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