[DL-Learner SVN] SF.net SVN: dl-learner:[3239] trunk

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

Revision: 3239
          http://dl-learner.svn.sourceforge.net/dl-learner/?rev=3239&view=rev
Author:   jenslehmann
Date:     2011-09-02 14:22:59 +0000 (Fri, 02 Sep 2011)
Log Message:
-----------
some work on SPARQL examples

Modified Paths:
--------------
    trunk/examples/sparql/Actors.conf

Added Paths:
-----------
    trunk/test/sparql/
    trunk/test/sparql/AristotlePos.conf

Removed Paths:
-------------
    trunk/examples/sparql/AristotlePos.conf

Modified: trunk/examples/sparql/Actors.conf
===================================================================
--- trunk/examples/sparql/Actors.conf	2011-09-02 14:04:13 UTC (rev 3238)
+++ trunk/examples/sparql/Actors.conf	2011-09-02 14:22:59 UTC (rev 3239)
@@ -7,13 +7,13 @@
 
 // SPARQL options
 sparql.type = "SPARQL endpoint fragment"
-sparql.url = "http://dbpedia.openlinksw.com:8890/sparql"
+sparql.url = "http://live.dbpedia.org/sparql"
 sparql.defaultGraphURIs = {"http://dbpedia.org"}
 sparql.recursionDepth = 1
 //TODOREFACTOR check if predefinedFilter works at all
 //predefined filter (1 = YAGO based learning)
 // 2 = SKOS, more Options are needed then though. replacePredicate, breakSuperClassRetrievalAfter
-sparql.predefinedFilter = "YAGO";
+sparql.predefinedFilter = "YAGO"
 
 // the set of objects as starting point for fragment selection
 // (should be identical to the set of examples)
@@ -24,7 +24,7 @@
 "http://dbpedia.org/resource/Jason_Mewes",
 "http://dbpedia.org/resource/Kevin_Smith",
 "http://dbpedia.org/resource/Trey_Parker",
-"http://dbpedia.org/resource/Adam_Sandler"};
+"http://dbpedia.org/resource/Adam_Sandler"}
 
 reasoner.type = "fast instance checker"
 reasoner.sources = {sparql}

Deleted: trunk/examples/sparql/AristotlePos.conf
===================================================================
--- trunk/examples/sparql/AristotlePos.conf	2011-09-02 14:04:13 UTC (rev 3238)
+++ trunk/examples/sparql/AristotlePos.conf	2011-09-02 14:22:59 UTC (rev 3239)
@@ -1,46 +0,0 @@
-/**
- * Some people from Greece.
- * Note: DBpedia is always subject to change, solutions will change over time
-
- * Possible Solution:
- *    Theorist OR (Mathematician AND Physicist)
- * 
- *  This is the same as AristotlePosNeg.conf, but positives only
- */
-
-// SPARQL options
-sparql.type = "SPARQL endpoint fragment"
-sparql.url = "http://dbpedia.openlinksw.com:8890/sparql"
-sparql.defaultGraphURIs = {"http://dbpedia.org"}
-sparql.recursionDepth = 1
-//TODOREFACTOR check if predefinedFilter works at all
-//predefined filter (1 = YAGO based learning)
-sparql.predefinedFilter = "YAGO"
-sparql.instances = {
-"http://dbpedia.org/resource/Democritus",
-"http://dbpedia.org/resource/Zeno_of_Elea",
-"http://dbpedia.org/resource/Plato",
-"http://dbpedia.org/resource/Socrates",
-"http://dbpedia.org/resource/Archytas",
-"http://dbpedia.org/resource/Pythagoras",
-"http://dbpedia.org/resource/Philolaus"
-}
-
-reasoner.type = "fast instance checker"
-reasoner.sources = {sparql}
-
-// we want to learn from positive examples only
-lp.type = "positive only learning problem"
-lp.positiveExamples = {
-"http://dbpedia.org/resource/Archytas",
-"http://dbpedia.org/resource/Pythagoras",
-"http://dbpedia.org/resource/Philolaus"
-}
-
-lp.reasoner = reasoner
-
-// we use the OCEL algorithm
-alg.type = "ocel"
-alg.reasoner = reasoner
-alg.learningProblem = lp
-

Copied: trunk/test/sparql/AristotlePos.conf (from rev 3237, trunk/examples/sparql/AristotlePos.conf)
===================================================================
--- trunk/test/sparql/AristotlePos.conf	                        (rev 0)
+++ trunk/test/sparql/AristotlePos.conf	2011-09-02 14:22:59 UTC (rev 3239)
@@ -0,0 +1,46 @@
+/**
+ * Some people from Greece.
+ * Note: DBpedia is always subject to change, solutions will change over time
+
+ * Possible Solution:
+ *    Theorist OR (Mathematician AND Physicist)
+ * 
+ *  This is the same as AristotlePosNeg.conf, but positives only
+ */
+
+// SPARQL options
+sparql.type = "SPARQL endpoint fragment"
+sparql.url = "http://dbpedia.openlinksw.com:8890/sparql"
+sparql.defaultGraphURIs = {"http://dbpedia.org"}
+sparql.recursionDepth = 1
+//TODOREFACTOR check if predefinedFilter works at all
+//predefined filter (1 = YAGO based learning)
+sparql.predefinedFilter = "YAGO"
+sparql.instances = {
+"http://dbpedia.org/resource/Democritus",
+"http://dbpedia.org/resource/Zeno_of_Elea",
+"http://dbpedia.org/resource/Plato",
+"http://dbpedia.org/resource/Socrates",
+"http://dbpedia.org/resource/Archytas",
+"http://dbpedia.org/resource/Pythagoras",
+"http://dbpedia.org/resource/Philolaus"
+}
+
+reasoner.type = "fast instance checker"
+reasoner.sources = {sparql}
+
+// we want to learn from positive examples only
+lp.type = "positive only learning problem"
+lp.positiveExamples = {
+"http://dbpedia.org/resource/Archytas",
+"http://dbpedia.org/resource/Pythagoras",
+"http://dbpedia.org/resource/Philolaus"
+}
+
+lp.reasoner = reasoner
+
+// we use the OCEL algorithm
+alg.type = "ocel"
+alg.reasoner = reasoner
+alg.learningProblem = lp
+

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