Package unbbayes.prs.mebn.kb

Examples of unbbayes.prs.mebn.kb.KnowledgeBase

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   * Insert the MEBN Generative into KB. (Object Entities and Domain Resident
   * Nodes)
   */
  private void loadGenerativeMEBNIntoKB() {

    KnowledgeBase knowledgeBase = getKnowledgeBase();

    for (ObjectEntity entity : multiEntityBayesianNetwork
        .getObjectEntityContainer().getListEntity()) {
      knowledgeBase.createEntityDefinition(entity);
    }

    for (MFrag mfrag : multiEntityBayesianNetwork.getDomainMFragList()) {
      for (ResidentNode resident : mfrag.getResidentNodeList()) {
        knowledgeBase.createRandomVariableDefinition(resident);
      }
    }
  }
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  /**
   * Insert the findings into KB.
   */
  private void loadFindingsIntoKB() {

    KnowledgeBase knowledgeBase = getKnowledgeBase();

    for (ObjectEntityInstance instance : multiEntityBayesianNetwork
        .getObjectEntityContainer().getListEntityInstances()) {
      knowledgeBase.insertEntityInstance(instance);
    }

    for (MFrag mfrag : multiEntityBayesianNetwork.getDomainMFragList()) {
      for (ResidentNode residentNode : mfrag.getResidentNodeList()) {
        for (RandomVariableFinding finding : residentNode
            .getRandomVariableFindingList()) {
          knowledgeBase.insertRandomVariableFinding(finding);
        }
      }
    }
  }
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        MultiEntityBayesianNetwork mebn = ubf.loadMebn(mebnFile);
 
       
        // initialize kb
       
        KnowledgeBase knowledgeBase = PowerLoomKB.getNewInstanceKB();
        knowledgeBase = textModeRunner.createKnowledgeBase(knowledgeBase, mebn);
       
        // load kb
       
  //      File kbFile = new File(getClass().getResource("/mebn/prognos.plm").getFile());
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   * Insert the MEBN Generative into KB. (Object Entities and Domain Resident
   * Nodes)
   */
  private void loadGenerativeMEBNIntoKB() {

    KnowledgeBase knowledgeBase = getKnowledgeBase();

    for (ObjectEntity entity : multiEntityBayesianNetwork
        .getObjectEntityContainer().getListEntity()) {
      knowledgeBase.createEntityDefinition(entity);
    }

    for (MFrag mfrag : multiEntityBayesianNetwork.getDomainMFragList()) {
      for (ResidentNode resident : mfrag.getResidentNodeList()) {
        knowledgeBase.createRandomVariableDefinition(resident);
      }
    }
  }
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  /**
   * Insert the findings into KB.
   */
  private void loadFindingsIntoKB() {

    KnowledgeBase knowledgeBase = getKnowledgeBase();

    for (ObjectEntityInstance instance : multiEntityBayesianNetwork
        .getObjectEntityContainer().getListEntityInstances()) {
      knowledgeBase.insertEntityInstance(instance);
    }

    for (MFrag mfrag : multiEntityBayesianNetwork.getDomainMFragList()) {
      for (ResidentNode residentNode : mfrag.getResidentNodeList()) {
        for (RandomVariableFinding finding : residentNode
            .getRandomVariableFindingList()) {
          knowledgeBase.insertRandomVariableFinding(finding);
        }
      }
    }
  }
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    // object to facilitate KB manipulation and query (but we are not going to use query)
    TextModeRunner textModeRunner = new TextModeRunner();
   
    // instantiate and setup knowledge base
    KnowledgeBase kb = textModeRunner.createKnowledgeBase(PowerLoomKB.getNewInstanceKB(), mebn);
   
    // load finding data from file and insert to KB
    try {
      // load findings from file
      kb.loadModule(plmFileToLoad, true);
      // fill mebn with findings
      textModeRunner.fillFindings(mebn, kb);
    } catch (UBIOException e) {
      e.printStackTrace();
      fail(e.getMessage());
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Related Classes of unbbayes.prs.mebn.kb.KnowledgeBase

  • edu.gmu.seor.prognos.simulation.integration.gui.PrognosFrame
  • edu.gmu.seor.prognos.simulation.integration.util.MebnUtil
  • edu.gmu.seor.prognos.unbbayesplugin.continuous.io.ContinuousUBFIOTest
  • edu.gmu.seor.prognos.util.MebnUtil
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