code: def dcdict2rdfpy(dc_dict):
      
      ark_prefix = 'ark: ark:'
      uri = URIRef('')
      # Create the RDF Python object.
      rdf_py = ConjunctiveGraph()
      # Set DC namespace definition.
      DC = Namespace('http://purl.org/dc/elements/1.1/')
      # Get the ark for the subject URI from the ark identifier.
      for element_value in dc_dict['identifier']:
          if element_value['content'].startswith(ark_prefix):
              uri = URIRef(
                  element_value['content'].replace(
                      ark_prefix, 'info:ark'
                  )
              )
      # Bind the prefix/namespace pair.
      rdf_py.bind('dc', DC)
      # Get the values for each element in the ordered DC elements.
      for element_name in DC_ORDER:
          element_value_list = dc_dict.get(element_name, [])
          # Add the values to the RDF object.
          for element_value in element_value_list:
              # Handle URL values differently.
              if ('http' in element_value['content'] and ' ' not in element_value['content']):
                  rdf_py.add((
                      uri,
                      DC[element_name],
                      URIRef(element_value['content'])
                  ))
              else:
                  rdf_py.add((
                      uri,
                      DC[element_name],
                      Literal(element_value['content'])
                  ))
      return rdf_py
docs: Convert a DC dictionary into an RDF Python object.