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[DL-Learner SVN] SF.net SVN: dl-learner: [604] trunk
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From: <jen...@us...> - 2008-02-18 15:54:05
|
Revision: 604
http://dl-learner.svn.sourceforge.net/dl-learner/?rev=604&view=rev
Author: jenslehmann
Date: 2008-02-18 07:54:00 -0800 (Mon, 18 Feb 2008)
Log Message:
-----------
- updated doc folder
- small fix in build script
Modified Paths:
--------------
trunk/build.xml
trunk/src/dl-learner/org/dllearner/Info.java
Added Paths:
-----------
trunk/doc/kbFileSyntax.txt
Removed Paths:
-------------
trunk/doc/configOptionsOld.txt
trunk/doc/sparqlModule.txt
Modified: trunk/build.xml
===================================================================
--- trunk/build.xml 2008-02-18 15:35:03 UTC (rev 603)
+++ trunk/build.xml 2008-02-18 15:54:00 UTC (rev 604)
@@ -92,7 +92,7 @@
<!-- copy source code -->
<mkdir dir="${release_tmp_dir}/src/"/>
<copy toDir="${release_tmp_dir}/src/">
- <fileset dir="${source_dir}" includes="**/*.java,**/*.jjt,build.xml"/>
+ <fileset dir="${source_dir}" includes="**/*.java,**/*.html,**/*.gif,**/*.jjt,build.xml"/>
</copy>
<!-- create copy developer documentation -->
Deleted: trunk/doc/configOptionsOld.txt
===================================================================
--- trunk/doc/configOptionsOld.txt 2008-02-18 15:35:03 UTC (rev 603)
+++ trunk/doc/configOptionsOld.txt 2008-02-18 15:54:00 UTC (rev 604)
@@ -1,294 +0,0 @@
-Configuration Files
-===================
-
-This file gives an overview for running DL-Learner using configuration files
-as provided in the examples directory.
-
-The background knowledge can either be given as OWL DL file (using the import
-function in the configuration files) or by specifying it directly in the
-configuration file (which we refer to as the internal knowledge base).
-
-Some examples of the syntax of the background knowledge in the internal
-knowledge base:
-
-person = (male OR female).
-mother = (female AND EXISTS hasChild.TOP).
-motherManyDaughters = (female AND >= 4 hasChild.female).
-(mother AND father) SUBCLASSOF person.
-
-Also see the example files.
-
-This is the EBNF description of the input language [slightly outdated]:
-
-Number = ["1"-"9"] (["0"-"9"])*
-Id = ["a"-"z"] (["_","a"-"z","A"-"Z","0"-"9"])*
-String: "\"" (~["\"","\\","\n","\r"])* "\""
-Instruction = ConfOption
- | FunctionCall
- | PosExample
- | NegExample
- | ABoxConcept
- | ABoxRole
- | Transitive
- | Functional
- | Symmetric
- | Inverse
- | Subrole
- | TBoxEquiv
- | TBoxSub
-ConfOption = Id [ "." Id ] "=" ( Id | Number ) ";"
-FunctionCall = Id "(" String ")" ";"
-PosExample = "+" Id "(" Id ")" "."
-NegExample = "-" Id "(" Id ")" "."
-ABoxConcept = Concept "(" Id ")" "."
-ABoxRole = Id "(" Id "," Id ")" "."
-Transitive = "Transitive" "(" Id ")" "."
-Functional = "Functional" "(" Id ")" "."
-Symmetric = "Symmetric" "(" Id ")" "."
-Inverse = "Inverse" "(" Id "," Id ")" "."
-Subrole = "Subrole" "(" Id "," Id ")" "."
-TBoxEquiv = Concept "=" Concept "."
-TBoxSub = Concept ("SUBCLASSOF" | "SUB" ) Concept "."
-Concept = "TOP"
- | "BOTTOM"
- | Id
- | "(" Concept "AND" Concept ")"
- | "(" Concept "OR" Concept ")"
- | "EXISTS" Id "." Concept
- | "ALL" Id "." Concept
- | "NOT" Concept
- | ">=" Number Id "." Concept
- | "<=" Number Id "." Concept
-
-Configuration Options
-=====================
-
-General
--------
-
-Option: algorithm
-Possible Values: bruteForce, gp, random, refinement, hybridGP
-Default: refinement
-Effect: Specifies the algorithm to use for solving the learning problem. Note,
- that hybridGP is not an algorithm itself, but starts the GP algorithm
- with a sensible set of default values for the hybrid algorithm combining
- GP with refinement operators. In particular the probability of all
- operators except refinement is set to 0.
-
-Option: reasoner
-Possible Values: dig, kaon2, fastRetrieval
-Default: dig
-Effect: Specifies the reasoner to be used. DIG communicates with a reasoner
- using the DIG Interface. KAON2 means to use the KAON2 Java API directly.
- FastRetrieval is an internal algorithm, which can only be used for
- retrieval (not for subsumption). Currently the DIG reasoner cannot read
- OWL files.
-
-Option: digReasonerURL
-Possible Values: a valid URL
-Default: http://localhost:8081
-Effect: Specifies the URL to be used to look for a DIG capable reasoner.
-
-Option: writeDIGProtocol
-Possible Values: true, false
-Default: false
-Effect: Specifies whether to store all DIG communication.
-
-Option: digProtocolFile
-Possible Values: strings
-Default: digProtocol.txt
-Effect: The file to store all DIG communication if writeDIGProtocol is true.
-
-Option: useRetrievalForClassification
-Possible Values: true, false
-Default: false
-Effect: To measure which concepts are covered, one can either use one retrieval
- or several instance checks (at most one for each example). This option
- controls which of both options should be used.
-
-Option: percentPerLengthUnit
-Possible Values: 0-1
-Default: 0.05
-Effect: How much percent (wrt classification accuracy) can a concept be worse to
- justify an increase in length of 1. This variable is used for GP and in
- refinement when the flexible heuristic is used. For GP, you should use a
- value smaller than the default.
-
-> general options below are ignored <
-> by the refinement operator algorithm <
-
-Option: accuracyPenalty
-Possible Values: 1-1000
-Default: 1
-Effect: Sets the penalty for "small misclassifications".
-
-Option: errorPenalty
-Possible Values: 1-1000
-Default: 3
-Effect: Sets the penalty for classification errors.
-
-Option: maxLength
-Possible Values: 1-20
-Default: 7
-Effect: For the brute force learner this specifies the depth limit for the
- search. The GP learner currently ignores it.
-
-Option: scoreMethod
-Possible Values: full, positive
-Default: positive
-Effect: The positive score method ignores if a negative examples cannot be
- classified. This is often usefull, because of the limited expressiveness
- of SHIQ wrt. negated role assertions. The full method penalizes this.
-
-Option: showCorrectClassifications
-Possible Values: true, false
-Default: false
-Effect: Controls if correct classifications are printed (does not effect the
- algorithm).
-
-Option: penalizeNeutralExamples
-Possible Values: true, false
-Default: false
-Effect: If true there is a penalty if a neutral (neither positive nor negative)
- individual is classified as either positive or negative. This should
- usually be set to false.
-
-Refinement Operator Algorithm Specific
---------------------------------------
-
-Option: refinement.horizontalExpansionFactor
-Possible Values: 0-1
-Default: 0.6
-Effect: Specifies horizontal expansion factor.
-
-Option: refinement.writeSearchTree
-Possible Values: true, false
-Default: false
-Effect: Specifies whether to write the search tree to a file.
-
-Option: refinement.searchTreeFile
-Possible Values: strings
-Default: "searchTree.txt"
-Effect: Specifies a file to save the current search tree after each loop of
- the refinement algorithm.
-
-Option: refinement.heuristic
-Possible Values: flexible, lexicographic
-Default: lexicographic
-Effect: The refinement operator together with a heuristic yields a learning
- algorithm. The lexicographic heuristic uses a lexicographic order of
- covered negative examples and horizontal expansion of a node (i.e.
- the covered examples are the first criterion, the horizontal expansion
- the second criterion). The flexible heuristic computes a combined node
- score of both criteria. Note, that the lexicographic needs a horizontal
- expansion factor greater than 0 to ensure correctness of the learning
- algorithm.
-
-Option: refinement.quiet
-Possible Values: true, false
-Default: false
-Effect: If set to true, no messages will be shown during the run of the
- algorithm (but there will still be startup and summary messages).
-
-Option: refinement.applyAllFilter
-Possible Values: true, false
-Default: true
-Effect: Specifies wether all equivalences should be used.
-
-Option: refinement.applyExistsFilter
-Possible Values: true, false
-Default: true
-Effect: Specifies wether exists equivalences should be used.
-
-Option: refinement.useTooWeakList
-Possible Values: true, false
-Default: true
-Effect: Specifies wether a too weak list should be used to reduce reasoner
- requests.
-
-Option: refinement.useOverlyGeneralList
-Possible Values: true, false
-Default: true
-Effect: Specifies wether an overly general list should be used to reduce
- reasoner requests.
-
-Option: refinement.useShortConceptConstruction
-Possible Values: true, false
-Default: true
-Effect: Specifies wether the algorithm should try to reduce a concept to a
- known more general concept to reduce the number of necessary
- subsumption checks for the reasoner.
-
-Option: refinement.useDIGMultiInstanceChecks
-Possible Values: never, twoChecks, oneCheck
-Default: twoChecks
-Effect: The DIG protocol allows to send several queries to a DIG reasoner at
- once. [This is automatically done for subsumption tests.] However,
- for instance checks this has the disadvantage that it may not be
- necessary to send all instance to the DIG reasoner if one of the
- positive examples is not covered (meaning that the concept is
- classified as too weak).
- If the option is set to never, then each instance check is send
- separately.
- If the option is set to twoChecks, then first all positive examples will
- be send in one query. If all of them are covered, i.e. the concept is
- not classified as too weak, then all the negative examples are send in
- one query.
- If the option is set to oneCheck, then all examples will be send in one
- query.
-
-Genetic Programming Specific
-----------------------------
-
-Option: gp.algorithmType
-Possible Values: steadyState, generational
-Default: steadyState
-Effect: Uses either a steady state (population partly replaced) or generational
- (population completely replaced) algorithm.
-
-Option: gp.elitism
-Possible Values: true, false
-Default: true
-Effect: If true an the GP algorithm uses elitism, i.e. the best individual is
- guarenteed to survive.
-
-Option: gp.numberOfIndividuals
-Possible Values: 1-1000000
-Default: 1000
-Effect: Sets the number of individuals in the population. A higher value
- improves classification, but is computationally more expensive.
-
-Option: gp.numberOfSelectedIndividuals
-Possible Values: 1-1000000
-Default: 960
-Effect: Sets the number of individuals, which are selected for replacement in a
- steady state GP algorithm.
-
-Option: gp.crossoverPercent
-Possible Values: 0-100
-Default: 95
-Effect: The probability that offspring is produced using crossover (in contrast
- to simply being copied over to the next generation).
-
-Option: gp.mutationPercent
-Possible Values: 0-100
-Default: 3
-Effect: The probability that offspring is mutated after reproduction.
-
-Option: gp.hillClimbingPercent
-Possible Values: 0-100
-Default: 0
-Effect: The probability that offspring is produced using the hill climbing
- operator.
-
-Option: gp.refinementPercent
-Possible Values: 0-100
-Default: 0
-Effect: The probability that offspring is produced using the genetic refinement
- operator.
-
-Option: gp.postConvergenceGenerations
-Possible Values: 10-1000
-Default: 50
-Effect: If the algorithm does not find a better solution for this number of
- generations it stops.
Added: trunk/doc/kbFileSyntax.txt
===================================================================
--- trunk/doc/kbFileSyntax.txt (rev 0)
+++ trunk/doc/kbFileSyntax.txt 2008-02-18 15:54:00 UTC (rev 604)
@@ -0,0 +1,52 @@
+Some learning examples use background knowledge in *.kb files. These
+files use a DL-Learner internal convenience syntax and can be converted
+to OWL.
+
+Here are some examples for axioms in this syntax:
+
+person = (male OR female).
+mother = (female AND EXISTS hasChild.TOP).
+motherManyDaughters = (female AND >= 4 hasChild.female).
+(mother AND father) SUBCLASSOF person.
+
+This is the EBNF description of the input language [slightly outdated]:
+
+Number = ["1"-"9"] (["0"-"9"])*
+Id = ["a"-"z"] (["_","a"-"z","A"-"Z","0"-"9"])*
+String: "\"" (~["\"","\\","\n","\r"])* "\""
+Instruction = ConfOption
+ | FunctionCall
+ | PosExample
+ | NegExample
+ | ABoxConcept
+ | ABoxRole
+ | Transitive
+ | Functional
+ | Symmetric
+ | Inverse
+ | Subrole
+ | TBoxEquiv
+ | TBoxSub
+ConfOption = Id [ "." Id ] "=" ( Id | Number ) ";"
+FunctionCall = Id "(" String ")" ";"
+PosExample = "+" Id "(" Id ")" "."
+NegExample = "-" Id "(" Id ")" "."
+ABoxConcept = Concept "(" Id ")" "."
+ABoxRole = Id "(" Id "," Id ")" "."
+Transitive = "Transitive" "(" Id ")" "."
+Functional = "Functional" "(" Id ")" "."
+Symmetric = "Symmetric" "(" Id ")" "."
+Inverse = "Inverse" "(" Id "," Id ")" "."
+Subrole = "Subrole" "(" Id "," Id ")" "."
+TBoxEquiv = Concept "=" Concept "."
+TBoxSub = Concept ("SUBCLASSOF" | "SUB" ) Concept "."
+Concept = "TOP"
+ | "BOTTOM"
+ | Id
+ | "(" Concept "AND" Concept ")"
+ | "(" Concept "OR" Concept ")"
+ | "EXISTS" Id "." Concept
+ | "ALL" Id "." Concept
+ | "NOT" Concept
+ | ">=" Number Id "." Concept
+ | "<=" Number Id "." Concept
Deleted: trunk/doc/sparqlModule.txt
===================================================================
--- trunk/doc/sparqlModule.txt 2008-02-18 15:35:03 UTC (rev 603)
+++ trunk/doc/sparqlModule.txt 2008-02-18 15:54:00 UTC (rev 604)
@@ -1,310 +0,0 @@
-SPARQL-module
-
-The SPARQL module is integrated into the DL-Learner and cannot be run alone any more.
-You can just ignore the second part of this file, although it might describe some things
-in more detail.
-
-
-Here are some things that have to be included in the .conf file
-to get a working example:
-
-loadJarFile("lib/modules/sparqlModule.jar");
-runPreprocessingModule("org.dllearner.modules.SparqlModule");
-
-Options:
-========
-
-sparqlModule.numberOfRecursion = 2;
-(range: 1-3)
-Influences how deep the Ontology will be cut out
-Default: not sure 2 at the moment
-1: means only the selected individuals are loaded
-2: adds classes of the individuals and properties
-3: adds classes of properties of individuals and superclasses of classes
-
-
-sparqlModule.filterMode = 0;
-(range 0-2)
-These are presets for SPARQL filters (see below for configurations)
-0 only yago classes
-1 only categories
-2 skos and categories
-
-
-With the next options SPARQL filters can be configured in more detail.
-USE EITHER THIS or the filtermode above.
-
-sparqlModule.sparqlPredicateFilterList={"http://www.w3.org/2004/02/skos/core",
- "http://xmlns.com/foaf/0.1/",
- "http://dbpedia.org/property/wikipage-",
- "http://www.w3.org/2002/07/owl#sameAs",
- "http://dbpedia.org/property/reference"};
-
-sparqlModule.sparqlObjectFilterList={"http://dbpedia.org/resource/Category:Articles_",
- "http://dbpedia.org/resource/Category:Wikipedia_",
- "http://xmlns.com/foaf/0.1/",
- "http://dbpedia.org/resource/Category",
- "http://dbpedia.org/resource/Template",
- "http://upload.wikimedia.org/wikipedia/commons"};
-
-
-With the next option you can state namespaces that shall be typed as classes:
-sparqlModule.classList={"http://dbpedia.org/class/yago",
- "http://dbpedia.org/resource/Category:",
- "http://dbpedia.org/resource/Template:",
- "http://www.w3.org/2004/02/skos/core",
- "http://dbpedia.org/class/"};
-
-Hint: You can maybe export the ontology with the help of kaon2 in rdf format using:
-export("file.owl");
-But it is untested.
-
-
-
-Attention*******************************************
-below is a description of how to run the sparql module as a standalone application
-this was disabled though and does NOT work at the moment
-
-Algorithm:
-=========
-
-Start with:
-java dbpedia.SparqlModule ListOfIndividuals
-
-ListOfIndividuals= Individual | ListOfIndividuals | {}
-
-The String[] args of the main method is taken as input at the moment.
-This will be changed later, it is only for testing.
-
-Example:
-java dbpedia.SparqlModule http://dbpedia.org/resource/Angela_Merkel http://dbpedia.org/resource/Gerhard_Schr%C3%B6der http://dbpedia.org/resource/Helmut_Kohl http://dbpedia.org/resource/Helmut_Schmidt http://dbpedia.org/resource/Ludwig_Erhard http://dbpedia.org/resource/Willy_Brandt
-
-See bottom for more examples
-
-*Sparql-Queries***
-
-Example Sparql-Query see Options below for more info about FILTERS:
-
-SELECT * WHERE {
-<http://dbpedia.org/resource/Angela_Merkel> ?predicate ?object.
-FILTER(
-(!isLiteral(?object))
-&&( !regex(str(?predicate), 'http://www.w3.org/2004/02/skos/core#') )
-&&( !regex(str(?predicate), 'http://xmlns.com/foaf/0.1/') )
-&&( !regex(str(?predicate), 'http://dbpedia.org/property/wikipage-') )
-&&( !regex(str(?predicate), 'http://www.w3.org/2002/07/owl#sameAs') )
-&&( !regex(str(?predicate), 'http://dbpedia.org/property/reference') )
-&&( !regex((?object), 'http://xmlns.com/foaf/0.1/') )).}
-
-
-*Typing***
-DBpedia is not typed at all.
-I replaced/added the following to comply to OWL-DL:
-
-Resources are sorted in three categories (Class, Property, Instance)
-(implemented as HashSets) according to their uris
-Properties are typed as Properties
-Classes see below Options
-Instances is what is left
-
-*Output***
-The Ontology is written to a file System.currentMillisec().nt
-
-
-
-*Cache***
-the cache remembers: a timestamp, the original sparql-query, the result
-key is the subject http://dbpedia.org/resource/Angela_Merkel which is first urlencoded
-and so serves as the hash for the filename.
-Cache validates if timestamp too old and Sparql-Query the same
-before returning the SPARQL xml-result
-
-
-
-
-
-Options:
-========
-
-All Options cannot be altered right now, except in the source.
-This will be later moved to the constructor.
-Default is always used.
-Some are marked with "NYI", these are Not Yet Implemented and are just ideas I had.
-
-Main-Algorithm:
----------------
-
-*NumberOfRecursion (int)***
-
-how deep will the Ontology be cut out
-
-Default: ??? not sure 2 at the moment
-
-*ClassRepeat NYI (int)***
-
-Recursion can be increased, if the Object is a class.
-This will result in deeper, richer hierarchies
-
-
-Server:
-------
-
-there are no options planned right now hardcoded with:
-dbpedia.openlinksw.com:8890
-
-
-Sparql-queries:
----------------
-
-*SparqlFilterPredicate (String[])***
-
-removes all rows with the specified String in the PREDICATE from the ResultSet
-(integrated in SPARQL query with FILTER !regex)
-
-Default:
-"http://www.w3.org/2004/02/skos/core#" // conflict: no properties between classes allowed
-"http://xmlns.com/foaf/0.1/" //foaf is not well defined/unnecessary
-"http://dbpedia.org/property/wikipage-" // foreign wikis -fr -es, etc.
-"http://www.w3.org/2002/07/owl#sameAs" // contradicts with owl-dl maybe changed later so it will be replaced by owl:equivalentClass for Classes
-"http://dbpedia.org/property/reference" //links to homepages
-
-*SparqlFilterObject (String[])***
-(integrated in SPARQL query with FILTER !regex)
-
-removes all rows with the specified String in the OBJECT from the ResultSet
-
-Default:
-http://xmlns.com/foaf/0.1/ //foaf is not well defined/unnecessary
-
-*useLiterals (boolean)***
-(integrated in SPARQL query with FILTER !isLiteral)
-
-removes all rows with literals as objects from the ResultSet
-
-Default: false
-
-
-
-Type Information:
------------------
-
-options that are used to type resources to retain OWL-DL
-
-*IsClass (String[])***
-
-specifies URI's that can be considered classes (and therefore will be typed as classes)
-
-Default:
-"http://dbpedia.org/resource/Category:" //dbpedia categories
-"http://www.w3.org/2004/02/skos/core" // concept
-"http://dbpedia.org/class/yago" // yago classes
-"http://dbpedia.org/class/" // "yago" is missing in some of the Datasets from DBpedia,
-I don't actually know if this is a mistake or on purpose
-
-
-Cache:
-------
-
-
-*freshdays (int)***
-
-Determines how many days a cached query stays valid
-
-Default: 15 days
-
-*path (String)***
-
-path of the cache-folder
-
-Default: cache
-
-
-
-Syntactic Sugar NYI
-----------------
-Instead of choosing example individuals to put into main,
-it could be nice to choose 2 Categories.
-The module automatically downloads the individals for both classes itself,
-removes the category from the definiton and then runs the DL-Learner.
-
-
-
-
-
-Examples:
-=========
-
-German Leaders:
-
-Input:
-http://dbpedia.org/resource/Adolf_Hitler http://dbpedia.org/resource/Prince_Chlodwig_zu_HohenloheSchillingsf%C3%BCrst http://dbpedia.org/resource/Prince_Maximilian_of_Baden http://dbpedia.org/resource/Franz_von_Papen http://dbpedia.org/resource/Joseph_Goebbels http://dbpedia.org/resource/Gerhard_Schr%C3%B6der http://dbpedia.org/resource/Angela_Merkel http://dbpedia.org/resource/Helmut_Kohl http://dbpedia.org/resource/Helmut_Schmidt http://dbpedia.org/resource/Ludwig_Erhard http://dbpedia.org/resource/Willy_Brandt
-
-conf:
-
-+test("http://dbpedia.org/resource/Adolf_Hitler").
-+test("http://dbpedia.org/resource/Prince_Chlodwig_zu_Hohenlohe-Schillingsf%C3%BCrst").
-+test("http://dbpedia.org/resource/Prince_Maximilian_of_Baden").
-+test("http://dbpedia.org/resource/Franz_von_Papen").
-+test("http://dbpedia.org/resource/Joseph_Goebbels").
-+test("http://dbpedia.org/resource/Gerhard_Schr%C3%B6der").
-+test("http://dbpedia.org/resource/Angela_Merkel").
-+test("http://dbpedia.org/resource/Helmut_Kohl").
-+test("http://dbpedia.org/resource/Helmut_Schmidt").
-+test("http://dbpedia.org/resource/Ludwig_Erhard").
-+test("http://dbpedia.org/resource/Willy_Brandt").
-
-
-Greek Philosophers:
-
-Input
-
- http://dbpedia.org/resource/Socrates http://dbpedia.org/resource/Plato http://dbpedia.org/resource/Pythagoras http://dbpedia.org/resource/Zeno_of_Elea http://dbpedia.org/resource/Democritus http://dbpedia.org/resource/Theophrastus http://dbpedia.org/resource/Anaxagoras http://dbpedia.org/resource/Alexander_the_Great http://dbpedia.org/resource/Hephaestion http://dbpedia.org/resource/Diotima http://dbpedia.org/resource/Nicomachus http://dbpedia.org/resource/Harpalus http://dbpedia.org/resource/Menaechmus
-
-Conf
-
-+test("http://dbpedia.org/resource/Socrates").
-+test("http://dbpedia.org/resource/Plato").
-+test("http://dbpedia.org/resource/Pythagoras").
-
-+test("http://dbpedia.org/resource/Zeno_of_Elea").
-//was a pre-Socratic Greek philosopher
-+test("http://dbpedia.org/resource/Democritus").
-//was a pre-Socratic Greek philosopher
-//+test("http://dbpedia.org/resource/Theophrastus").
-//a native of Eressos in Lesbos, was the successor of Aristotle in the Peripatetic school.
-+test("http://dbpedia.org/resource/Anaxagoras").
-//was a pre-Socratic Greek philosopher.
-
--test("http://dbpedia.org/resource/Alexander_the_Great").
--test("http://dbpedia.org/resource/Hephaestion").
-//makedonischer Adeliger, der engste Freund, General, Leibw\xE4chter und vielleicht auch Geliebter Alexanders des Gro\xDFen.
--test("http://dbpedia.org/resource/Diotima").
-//ist eine literarische Figur Platons, eine Seherin aus Mantin\xE4a,
--test("http://dbpedia.org/resource/Nicomachus").
-//Nicomachus sp\xE4tantiker r\xF6mischer Schriftsteller und Politiker
--test("http://dbpedia.org/resource/Harpalus").
-//Harpalus was an aristocrat of Macedon and boyhood friend of Alexander the Great
--test("http://dbpedia.org/resource/Menaechmus").
-//was a Greek mathematician and geometer born in Alopeconnesus
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
Modified: trunk/src/dl-learner/org/dllearner/Info.java
===================================================================
--- trunk/src/dl-learner/org/dllearner/Info.java 2008-02-18 15:35:03 UTC (rev 603)
+++ trunk/src/dl-learner/org/dllearner/Info.java 2008-02-18 15:54:00 UTC (rev 604)
@@ -3,6 +3,6 @@
package org.dllearner;
public class Info {
- public static final String build = "2008-02-06";
+ public static final String build = "2008-02-18";
}
\ No newline at end of file
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