[DL-Learner SVN] SF.net SVN: dl-learner: [86] trunk/src/dl-learner/org/dllearner/utilities/ PaperStatistics.java

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

Revision: 86
          http://dl-learner.svn.sourceforge.net/dl-learner/?rev=86&view=rev
Author:   jenslehmann
Date:     2007-08-28 06:24:54 -0700 (Tue, 28 Aug 2007)

Log Message:
-----------
intermediate commit for statistics generation script

Modified Paths:
--------------
    trunk/src/dl-learner/org/dllearner/utilities/PaperStatistics.java

Modified: trunk/src/dl-learner/org/dllearner/utilities/PaperStatistics.java
===================================================================
--- trunk/src/dl-learner/org/dllearner/utilities/PaperStatistics.java	2007-08-28 13:23:47 UTC (rev 85)
+++ trunk/src/dl-learner/org/dllearner/utilities/PaperStatistics.java	2007-08-28 13:24:54 UTC (rev 86)
@@ -23,6 +23,7 @@
 import java.net.MalformedURLException;
 import java.net.URL;
 import java.util.HashMap;
+import java.util.List;
 import java.util.Map;
 import java.util.SortedSet;
 import java.util.TreeSet;
@@ -61,6 +62,54 @@
 	@SuppressWarnings("unused")
 	private static void createStatistics() {
 		
+		// experimental setup:
+		
+		// algorithms: refinement, GP, hybrid GP (YinYang)
+		// settings GP:
+		// - average over 10 runs
+		// ...
+		// settings Hybrid GP:
+		// - average over 10 runs
+		// ...
+		// settings refinement:
+		// - single run
+		// ...
+		
+		// observations: 
+		// - correctness
+		// - concept length
+		// - runtime
+		
+		// learning examples:
+		// - trains
+		// - arches
+		// - moral (simple)
+		// - moral (complex)
+		// - poker (pair)
+		// - poker (straight)
+		// - uncle (FORTE)
+		// - more?
+		
+		String exampleBaseDir = "examples/";
+		
+		File[] confFiles = new File[1];
+		confFiles[0] = new File(exampleBaseDir, "trains/trains.conf"); 		
+		
+		/*
+		Stat[][] statAr = new Stat[4][3];
+		File[][] fileAr = new File[4][3];		
+		
+		fileAr[0][0] = new File(baseDir, "gnuplot/hybrid100classification.data");
+		fileAr[0][1] = new File(baseDir, "gnuplot/hybrid100length.data");
+		fileAr[0][2] = new File(baseDir, "gnuplot/hybrid100runtime.data");
+		fileAr[1][0] = new File(baseDir, "gnuplot/hybrid50classification.data");
+		fileAr[1][1] = new File(baseDir, "gnuplot/hybrid50length.data");
+		fileAr[1][2] = new File(baseDir, "gnuplot/hybrid50runtime.data");
+		fileAr[2][0] = new File(baseDir, "gnuplot/gpclassification.data");
+		fileAr[2][1] = new File(baseDir, "gnuplot/gplength.data");
+		fileAr[2][2] = new File(baseDir, "gnuplot/gpruntime.data");		
+		*/
+		
 		// set reasoner URL
 		try {
 			Config.digReasonerURL = new URL("http://localhost:8081");
@@ -68,21 +117,17 @@
 			e.printStackTrace();
 		}			
 		
-		// used OWL files
-		File fatherOwlFile = new File("examples/father.owl");
 		String fatherConfFile = "examples/father2.conf";
-		URL ontologyFatherURL = null;
-		try {
-			ontologyFatherURL = new URL("file", "localhost", fatherOwlFile.getAbsolutePath());
-		} catch (MalformedURLException e1) {
-			e1.printStackTrace();
-		}
 		
-		Map<URL, OntologyFileFormat> m = new HashMap<URL, OntologyFileFormat>();
-		m.put(ontologyFatherURL, OntologyFileFormat.RDF_XML);
+		// file is parsed, but we use only the specified examples really
+		// (everything else is ignored)
+		DLLearner.parseFile(fatherConfFile);
+		// DLLearner.parseFile(fatherConfFile);		
 		
+		Map<URL, OntologyFileFormat> imports = getImports(DLLearner.getFunctionCalls());
+		
 		// initialise reasoner
-		Reasoner reasoner = Main.createReasoner(new KB(), m);
+		Reasoner reasoner = Main.createReasoner(new KB(), imports);
 		ReasoningService rs = new ReasoningService(reasoner);		
 		
 		Main.autoDetectConceptsAndRoles(rs);
@@ -96,10 +141,6 @@
 			}
 		}
 		
-		// file is parsed, but we use only the specified examples really
-		// (everything else is ignored)
-		DLLearner.parseFile(fatherConfFile);
-		
 		SortedSet<Individual> positiveExamples = new TreeSet<Individual>();
 		SortedSet<Individual> negativeExamples = new TreeSet<Individual>();
 		Map<AtomicConcept,SortedSet<Individual>> posExamplesTmp = DLLearner.getPositiveExamples();
@@ -110,6 +151,8 @@
 
 		for (AtomicConcept target : negExamplesTmp.keySet())
 			negativeExamples = negExamplesTmp.get(target);
+			
+
 		
 		LearningProblem learningProblem = new LearningProblem(rs, positiveExamples, negativeExamples);
 		ROLearner learner = new ROLearner(learningProblem);
@@ -118,4 +161,46 @@
 		
 	}
 	
+	private static Map<URL, OntologyFileFormat> getImports(List<List<String>> functionCalls) {
+		Map<URL, OntologyFileFormat> importedFiles = new HashMap<URL, OntologyFileFormat>();
+		
+		OntologyFileFormat format = null;
+		URL url = null;
+		
+		for (List<String> call : functionCalls) {
+			
+			if(call.get(0).equals("import")) {
+				// alte Methode mit file statt URI
+				// File f = new File(baseDir, call.get(1));
+				
+				try {				
+					String fileString = call.get(1);
+					if(fileString.startsWith("http:")) {
+						url = new URL(fileString);
+					} else {
+						File f = new File("examples", call.get(1));
+						url = f.toURI().toURL();
+					}
+				} catch (MalformedURLException e) {
+					// TODO Auto-generated catch block
+					e.printStackTrace();
+				}
+				
+				if (call.size() == 2)
+					// falls nichts angegeben, dann wird RDF/XML gewählt
+					importedFiles.put(url, OntologyFileFormat.RDF_XML);
+				else {
+					String formatString = call.get(2);
+					if (formatString.equals("RDF/XML"))
+						format = OntologyFileFormat.RDF_XML;
+					else
+						format = OntologyFileFormat.N_TRIPLES;
+					importedFiles.put(url, format);
+				}
+			}			
+		}
+		
+		return importedFiles;
+	}
+	
 }


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