Uses of Class
org.dllearner.server.ClientNotKnownException

Packages that use ClientNotKnownException
org.dllearner.server This package implements the DL-Learner web service. 
 

Uses of ClientNotKnownException in org.dllearner.server
 

Methods in org.dllearner.server that throw ClientNotKnownException
 int DLLearnerWS.addKnowledgeSource(int id, String component, String url)
          Adds a knowledge source.
 void DLLearnerWS.applyConfigEntryBoolean(int sessionID, int componentID, String optionName, Boolean value)
           
 void DLLearnerWS.applyConfigEntryInt(int sessionID, int componentID, String optionName, Integer value)
           
 void DLLearnerWS.applyConfigEntryString(int sessionID, int componentID, String optionName, String value)
           
 void DLLearnerWS.applyConfigEntryStringArray(int sessionID, int componentID, String optionName, String[] value)
           
 void DLLearnerWS.applyConfigEntryURL(int sessionID, int componentID, String optionName, String value)
           
 String DLLearnerWS.getAsJSON(int sessionID, int queryID)
           
 String DLLearnerWS.getAsXMLString(int sessionID, int queryID)
           
 String[] DLLearnerWS.getAtomicConcepts(int id)
           
 String[] DLLearnerWS.getAtomicRoles(int id)
           
 int[] DLLearnerWS.getConceptArity(int id, int nrOfConcepts)
           
 int[] DLLearnerWS.getConceptDepth(int id, int nrOfConcepts)
           
 Boolean DLLearnerWS.getConfigOptionValueBoolean(int sessionID, int componentID, String optionName)
           
 Double DLLearnerWS.getConfigOptionValueDouble(int sessionID, int componentID, String optionName)
           
 Integer DLLearnerWS.getConfigOptionValueInt(int sessionID, int componentID, String optionName)
           
 String DLLearnerWS.getConfigOptionValueString(int sessionID, int componentID, String optionName)
           
 String[] DLLearnerWS.getConfigOptionValueStringArray(int sessionID, int componentID, String optionName)
           
 String DLLearnerWS.getConfigOptionValueURL(int sessionID, int componentID, String optionName)
           
 String DLLearnerWS.getCurrentlyBestConcept(int id)
           
 String[] DLLearnerWS.getCurrentlyBestConcepts(int id, int nrOfConcepts, String format)
           
 String DLLearnerWS.getCurrentlyBestEvaluatedDescriptions(int id, int limit)
           
 String DLLearnerWS.getCurrentlyBestEvaluatedDescriptionsFiltered(int id, int nrOfDescriptions, double accuracyThreshold, boolean filterNonMinimalDescriptions)
           
 String[] DLLearnerWS.getIndividualsForARole(int id, String role)
           
 String[] DLLearnerWS.getInstances(int id)
           
 String DLLearnerWS.getNaturalDescription(int id, String conceptString, String endpoint)
           
 String[] DLLearnerWS.getNegativeExamples(int sessionID, int componentID, String[] positives, int results, String namespace, String[] filterClasses)
           
 String DLLearnerWS.getSubsumptionHierarchy(int id)
           
 void DLLearnerWS.init(int id, int componentID)
          Initialise the specified component.
 void DLLearnerWS.initAll(int id)
          Initialise all components.
 boolean DLLearnerWS.isAlgorithmRunning(int id)
           
 boolean DLLearnerWS.isSparqlQueryRunning(int sessionID, int queryID)
           
 String DLLearnerWS.learn(int id, String format)
          Starts the learning algorithm and returns the best concept found.
 String DLLearnerWS.learnDescriptionsEvaluated(int id, int limit)
          Returns a list of JSON encoded description including extra information (which partially depends on the learning problem) such as the accuracy of the learned description.
 void DLLearnerWS.learnThreaded(int id)
          Starts the learning algorithm and returns immediately.
 void DLLearnerWS.removeKnowledgeSource(int id, int componentID)
          Removes a knowledge source.
 String[] DLLearnerWS.retrieval(int id, String conceptString)
           
 int DLLearnerWS.setLearningAlgorithm(int id, String component)
          Sets the learning algorithm to use.
 int DLLearnerWS.setLearningProblem(int id, String component)
          Sets the learning problem to use.
 void DLLearnerWS.setNegativeExamples(int id, String[] negativeExamples)
           
 void DLLearnerWS.setPositiveExamples(int id, String[] positiveExamples)
           
 int DLLearnerWS.setReasoner(int id, String component)
          Sets the reasoner to use.
 String DLLearnerWS.sparqlQuery(int sessionID, int componentID, String query)
           
 int DLLearnerWS.sparqlQueryThreaded(int sessionID, int componentID, String query)
           
 void DLLearnerWS.stop(int id)
          Stops the learning algorithm smoothly.
 void DLLearnerWS.stopSparqlThread(int sessionID, int queryID)
           
 



SourceForge.net Logo DL-Learner is licenced under the terms of the GNU General Public License.
Copyright © 2007-2008 Jens Lehmann