[DL-Learner SVN] SF.net SVN: dl-learner:[3417] trunk

[<jen...@us...>]

Revision: 3417
          http://dl-learner.svn.sourceforge.net/dl-learner/?rev=3417&view=rev
Author:   jenslehmann
Date:     2011-11-18 10:26:51 +0000 (Fri, 18 Nov 2011)
Log Message:
-----------
fix which allows to use prefixes in fuzzy examples

Modified Paths:
--------------
    trunk/interfaces/src/main/java/org/dllearner/confparser3/PostProcessor.java
    trunk/test/fuzzydll/fuzzytrains.conf

Modified: trunk/interfaces/src/main/java/org/dllearner/confparser3/PostProcessor.java
===================================================================
--- trunk/interfaces/src/main/java/org/dllearner/confparser3/PostProcessor.java	2011-11-18 10:02:43 UTC (rev 3416)
+++ trunk/interfaces/src/main/java/org/dllearner/confparser3/PostProcessor.java	2011-11-18 10:26:51 UTC (rev 3417)
@@ -89,12 +89,15 @@
 
             if (keyObject instanceof String) {
                 String keyString = (String) keyObject;
+                // replace prefixes in the key
+                for (String prefix : prefixes.keySet()) {
+                	key = keyString.replaceAll(prefix + ":", prefixes.get(prefix));
+                }
+                // if the value is a string, we also replace prefixes there
                 if (value instanceof String) {
                     String valueString = (String) value;
                     for (String prefix : prefixes.keySet()) {
-                        value = valueString.replaceAll(prefix + ":", prefixes.get(prefix));
-                        key = keyString.replaceAll(prefix + ":", prefixes.get(prefix));
-
+                        value = valueString.replaceAll(prefix + ":", prefixes.get(prefix));    
                     }
                 }
             }

Modified: trunk/test/fuzzydll/fuzzytrains.conf
===================================================================
--- trunk/test/fuzzydll/fuzzytrains.conf	2011-11-18 10:02:43 UTC (rev 3416)
+++ trunk/test/fuzzydll/fuzzytrains.conf	2011-11-18 10:26:51 UTC (rev 3417)
@@ -19,7 +19,7 @@
 lp.type = "fuzzyPosNeg"
 lp.positiveExamples = { "ex:east1", "ex:east2" }
 lp.negativeExamples = { "ex:west6", "ex:west7" }
-lp.fuzzyEx = [("http://www.example.com/fuzzyTrains.owl#east1",1.0),("http://www.example.com/fuzzyTrains.owl#east2",1.0),("http://www.example.com/fuzzyTrains.owl#west6",0.0),("http://www.example.com/fuzzyTrains.owl#west7",0.0)]
+lp.fuzzyEx = [("ex:west6",0.0),("ex:west7",0.0)]
 
 // create learning algorithm to run
 alg.type = "Fuzzy CELOE"

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