How to use

org.apache.jena.sparql.core.DatasetImpl

constructor

/** Wrap an existing DatasetGraph */
public static Dataset wrap(DatasetGraph datasetGraph) {
  return new DatasetImpl(datasetGraph) ;
}

/**
 * Create a dataset, starting with the model argument as the default graph of the
 * dataset. Named graphs can be added. 
 * <p> 
 * Use {@link #wrap(Model)} to put dataset functionality around a single
 * model when named graphs will not be added.
 * 
 * @param model The model for the default graph
 * @return a dataset with the given model as the default graph
 */
public static Dataset create(Model model) {
  Objects.requireNonNull(model, "Default model must be provided") ;
  return new DatasetImpl(model);
}

/**
 * @param dataset Dataset to clone structure from.
 * @return a dataset: clone the dataset structure of named graphs, and share the graphs themselves.
 * @deprecated This operation may be removed.
 */
@Deprecated
public static Dataset create(Dataset dataset) {
  Objects.requireNonNull(dataset, "Clone dataset is null") ;
  return new DatasetImpl(dataset);
}

/**
 * Specifies a Dataset that shall be used for query execution.
 * Returns a new DatasetImpl by default but may be overloaded in subclasses.
 * For example, TopBraid delegates this to the currently open Graphs.
 * @param defaultModel  the default Model of the Dataset
 * @return the Dataset
 */
public Dataset getDataset(Model defaultModel) {
  if(defaultModel != null) {
    return new DatasetImpl(defaultModel);
  }
  else {
    return new DatasetImpl(JenaUtil.createMemoryModel());
  }
}

/**
 * Specifies a Dataset that shall be used for query execution.
 * Returns a new DatasetImpl by default but may be overloaded in subclasses.
 * For example, TopBraid delegates this to the currently open Graphs.
 * @param defaultModel  the default Model of the Dataset
 * @return the Dataset
 */
public Dataset getDataset(Model defaultModel) {
  if(defaultModel != null) {
    return new DatasetImpl(defaultModel);
  }
  else {
    return new DatasetImpl(JenaUtil.createMemoryModel());
  }
}

/**
 * Creates quality metadata
 * 
 * @return Dataset with quality metadata which needs to be attached to the assessed dataset.
 * @throws MetadataException if there is no observation data calculated.
 */
public Dataset createQualityMetadata() throws MetadataException{
  Model defaultModel = ModelFactory.createDefaultModel();
  Dataset dataset = null;
  
  if (this.metadata.size() == 0) throw new MetadataException("No Metric Observations Recorded");
  
  defaultModel.add(qualityGraph, RDF.type, DAQ.QualityGraph);
  defaultModel.add(qualityGraph, CUBE.structure, DAQ.dsd);
  dataset = new DatasetImpl(defaultModel);
  dataset.addNamedModel(this.qualityGraph.getURI(), this.metadata);
  return dataset;
}