Package com.hp.hpl.jena.rdf.model

Examples of com.hp.hpl.jena.rdf.model.ResIterator.nextResource()

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        RDF.type,exponentialNumericTransformer);
    if (iters.hasNext()) {
        System.out.println("The database contains subjects" +
            " of type ExponentialNumericTransformer:");
        while (iters.hasNext()) {
            Resource resource = iters.nextResource();
            System.out.println("  " + resource.getLocalName());
            ExponentialNumericTransformer expNumInstance =
              getExponentialNumericTransformer(model,resource);
            System.out.println("     sourceMetric:" +
                expNumInstance.getSourceMetric());
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        RDF.type,sqrtNumericTransformer);
    if (iters.hasNext()) {
        System.out.println("The database contains subjects" +
            " of type SqrtNumericTransformer:");
        while (iters.hasNext()) {
            Resource resource = iters.nextResource();
            System.out.println("  " + resource.getLocalName());
            SqrtNumericTransformer sqrtNumInstance =
              getSqrtNumericTransformer(model,resource);
            System.out.println("     sourceMetric:" +
                sqrtNumInstance.getSourceMetric());
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        RDF.type,linealNumericTransformer);
    if (iters.hasNext()) {
        System.out.println("The database contains subjects" +
            " of type LinealNumericTransformer:");
        while (iters.hasNext()) {
            Resource resource = iters.nextResource();
            System.out.println("  " + resource.getLocalName());
            LinealNumericTransformer linNumInstance =
              getLinealNumericTransformer(model,resource);
            System.out.println(linNumInstance.toReducedString("     "));
        }
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        RDF.type,logaritmicNumericTransformer);
    if (iters.hasNext()) {
        System.out.println("The database contains subjects" +
            " of type LogaritmicNumericTransformer:");
        while (iters.hasNext()) {
            Resource resource = iters.nextResource();
            System.out.println("  " + resource.getLocalName());
            LogaritmicNumericTransformer logNumInstance =
              getLogaritmicNumericTransformer(model,resource);
            System.out.println("     sourceMetric:" +
                logNumInstance.getSourceMetric());
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        createResource(riNamespace + "ScaleCorrelation");
    ResIterator iters = model.listSubjectsWithProperty(RDF.type,scaleCorrelation);
    if (iters.hasNext()) {
        System.out.println("The database contains subjects of type scaleCorrelation:");
        while (iters.hasNext()) {
            Resource resource = iters.nextResource();
            System.out.println("  " + resource.getLocalName());
            ScaleCorrelation scaCorInstance = getScaleCorrelation(model,resource);           
            System.out.println(scaCorInstance.toString("     "));
        }
    } else {
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        createResource(riNamespace + "DimensionCorrelation");
    ResIterator iters = model.listSubjectsWithProperty(RDF.type,dimensionCorrelation);
    if (iters.hasNext()) {
        System.out.println("The database contains subjects of type dimensionCorrelation:");
        while (iters.hasNext()) {
            Resource resource = iters.nextResource();
            System.out.println("  " + resource.getLocalName());
            DimensionCorrelation dimCorInstance = getDimensionCorrelation(model,resource);
            System.out.println(dimCorInstance.toString("     "));
        }
    } else {
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        createResource(riNamespace + "TrustBetweenCommunities");   
    ResIterator iters = model.listSubjectsWithProperty(RDF.type,trustBetweenCommunities);
    if (iters.hasNext()) {
        System.out.println("The database contains subjects of type TrustBetweenCommunities:");
        while (iters.hasNext()) {
                Resource resource = iters.nextResource();
                System.out.println("  " + resource.getLocalName());
                TrustBetweenCommunities truBetInstance = null;
               
                /* boolean isASubclass = false;
                Resource fixedCommunitiesTrust = ResourceFactory.
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        createResource(riNamespace + "FixedCommunitiesTrust");
    ResIterator iters = model.listSubjectsWithProperty(RDF.type,fixedCommunitiesTrust);
        if (iters.hasNext()) {
            System.out.println("The database contains subjects of type FixedCommunitiesTrust:");
            while (iters.hasNext()) {
                Resource resource = iters.nextResource();
                System.out.println("  " + resource.getLocalName());
                FixedCommunitiesTrust fixComInstance = getFixedCommunitiesTrust(model,resource);
                System.out.println("     communityScorer:" +
                    fixComInstance.getCommunityScorer().getName());
                System.out.println("     communityScored:" +
View Full Code Here
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        createResource(riNamespace + "CategoryMatching");
    ResIterator iters = model.listSubjectsWithProperty(RDF.type,categoryMatching);
        if (iters.hasNext()) {
            System.out.println("The database contains subjects of type categoryMatching:");
            while (iters.hasNext()) {
                Resource resource = iters.nextResource();
                System.out.println("  " + resource.getLocalName());
                CategoryMatching catMatInstance = getCategoryMatching(model,resource);
                System.out.println(catMatInstance.toString("     "));
            }
        } else {
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    Resource category = ResourceFactory.createResource(riNamespace + "Category");
    ResIterator iters = model.listSubjectsWithProperty(RDF.type,category);
        if (iters.hasNext()) {
            System.out.println("The database contains subjects of type category:");
            while (iters.hasNext()) {
                Resource resource = iters.nextResource();
                System.out.println("  " + resource.getLocalName());
                Category categoryInstance = getCategory(model,resource);
                System.out.println(categoryInstance.toString("     "));                       
            }
        } else {
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