dnet-pace-core/src/main/java/eu/dnetlib/pace/distance/algo/LevensteinTitleIgnoreVersion.java

@@ -0,0 +1,55 @@
+package eu.dnetlib.pace.distance.algo;
+
+import com.wcohen.ss.AbstractStringDistance;
+import eu.dnetlib.pace.distance.DistanceClass;
+import eu.dnetlib.pace.distance.SecondStringDistanceAlgo;
+
+import java.util.Map;
+
+/**
+ * Compared distance between two titles, ignoring version numbers. Suitable for Software entities.
+ */
+@DistanceClass("LevensteinTitleIgnoreVersion")
+public class LevensteinTitleIgnoreVersion extends SecondStringDistanceAlgo {
+
+	public LevensteinTitleIgnoreVersion(Map<String,Number> params){
+		super(params, new com.wcohen.ss.Levenstein());
+	}
+
+	public LevensteinTitleIgnoreVersion(final double w) {
+		super(w, new com.wcohen.ss.Levenstein());
+	}
+
+	protected LevensteinTitleIgnoreVersion(final double w, final AbstractStringDistance ssalgo) {
+		super(w, ssalgo);
+	}
+
+	@Override
+	public double distance(final String a, final String b) {
+		String ca = cleanup(a);
+		String cb = cleanup(b);
+
+		ca = ca.replaceAll("\\d", "").replaceAll(getRomans(ca), "").trim();
+		cb = cb.replaceAll("\\d", "").replaceAll(getRomans(cb), "").trim();
+
+		final String cca = finalCleanup(ca);
+		final String ccb = finalCleanup(cb);
+
+		return normalize(ssalgo.score(cca, ccb), cca.length(), ccb.length());
+	}
+
+	private double normalize(final double score, final int la, final int lb) {
+		return 1 - (Math.abs(score) / Math.max(la, lb));
+	}
+
+	@Override
+	public double getWeight() {
+		return super.weight;
+	}
+
+	@Override
+	protected double normalize(final double d) {
+		return 1 / Math.pow(Math.abs(d) + 1, 0.1);
+	}
+
+}

dnet-pace-core/src/test/java/eu/dnetlib/pace/distance/DistanceAlgoTest.java

@@ -1,6 +1,7 @@
 package eu.dnetlib.pace.distance;
 
 import eu.dnetlib.pace.distance.algo.JaroWinklerNormalizedName;
+import eu.dnetlib.pace.distance.algo.LevensteinTitleIgnoreVersion;
 import org.apache.commons.lang.StringUtils;
 import org.junit.Before;
 import org.junit.Test;
@@ -52,4 +53,12 @@ public class DistanceAlgoTest extends AbstractPaceFunctions {
 		System.out.println(result);
 	}
 
+	@Test
+	public void testLevensteinTitleIgnoreVersion() {
+		final LevensteinTitleIgnoreVersion algo = new LevensteinTitleIgnoreVersion(params);
+		double result = algo.distance("gCube data layer v1.0 XI", "gCube data layer v1.5 VIII");
+
+		System.out.println(result);
+	}
+
 }