python类Literal()的实例源码

def get_do_metadata():
    # from the do owl file, get do labels, descriptions
    g = Graph()
    g.parse(DO_OWL_PATH)

    disease_ontology = Literal('disease_ontology', datatype=URIRef('http://www.w3.org/2001/XMLSchema#string'))
    query = """
        SELECT * WHERE {
            ?id oboInOwl:hasOBONamespace ?disease_ontology .
            ?id rdfs:label ?label .
            OPTIONAL {?id obo:IAO_0000115 ?descr}
            FILTER NOT EXISTS {?id owl:deprecated ?dep}
        }
        """
    rows = g.query(query, initBindings={'disease_ontology': disease_ontology})
    res = [{str(k): str(v) for k, v in binding.items()} for binding in rows.bindings]
    df = pd.DataFrame(res)
    df.drop_duplicates(subset=['id'], inplace=True)
    df.fillna("", inplace=True)
    do = df.to_dict("records")
    do = {purl_to_curie(x['id']): x for x in do}
    return do

def result_set_2_rdf(self, result_set, reduced_mapping, fragment):
        for tweet in result_set:
            for s, p, o in reduced_mapping.mapping:
                subject = s
                obj = o
                splited_subject = subject.split('{')
                subject_prefix = splited_subject[0]
                subject_jsonpath = parse(splited_subject[1].split('}')[0])
                subject_values = [match.value for match in subject_jsonpath.find(tweet)]
                if '$.' in obj:
                    object_jsonpath = parse(obj.split('{')[0].split('}')[0])
                    object_values = [match.value for match in object_jsonpath.find(tweet)]
                    for object_value in object_values:
                        fragment.add_data_triple(URIRef("%s%s" % (subject_prefix, subject_values[0])), p, Literal(object_value))
                else:
                    fragment.add_data_triple(URIRef("%s%s" % (subject_prefix, subject_values[0])), p, obj)

def result_set_2_rdf(self, result_set, reduced_mapping, fragment):
        for repo in result_set:
            for s, p, o in reduced_mapping.mapping:
                subject = s
                obj = o
                splited_subject = subject.split('{')
                subject_prefix = splited_subject[0]
                subject_jsonpath = parse(splited_subject[1].split('}')[0])
                subject_values = [match.value for match in subject_jsonpath.find(repo)]
                if '$.' in obj:
                    object_jsonpath = parse(obj.split('{')[0].split('}')[0])
                    object_values = [match.value for match in object_jsonpath.find(repo)]
                    for object_value in object_values:
                        fragment.add_data_triple(URIRef("%s%s" % (subject_prefix, subject_values[0])), p, Literal(object_value))
                else:
                    fragment.add_data_triple(URIRef("%s%s" % (subject_prefix, subject_values[0])), p, obj)

def test_create_graph():
    """Create new graphFactory Object"""
    from sc import graphManager

    PROV = Namespace("http://www.w3.org/ns/prov#")
    tstregistry = graphManager.VocabularyRegistry()

    vocab1 = Vocabulary1()
    tstregistry.register(vocab1)
    vocab2 = Vocabulary2()
    tstregistry.register(vocab2)

    tstregistry.build_graph()
    print tstregistry.get_turtle()
    # Check assertions in global graph store
    assert (URIRef("http://orcid.org/000-0003-4901-6059"),
            RDF.type, PROV.Person) in tstregistry.global_graph
    assert (URIRef(uuidurn),
            RDFS.label,  Literal(
                "Docker: https://www.docker.com/")) in tstregistry.global_graph
    # Check Serialization
    jsongraph = json.loads(tstregistry.get_json_ld())
    assert '@context' in jsongraph

def __addAction(self, action, statement):
        element = self.trans.createElement(action)
        for item in statement:
            if isinstance(item, Literal):
                literal = self.trans.createElement("literal")
                if item.datatype is not None: literal.setAttribute("datatype", str(item.datatype))
                if item.language is not None: literal.setAttribute("xml:lang", str(item.language))
                literal.appendChild(self.trans.createTextNode(str(item)))
                element.appendChild(literal)
            elif isinstance(item, URIRef):
                uri = self.trans.createElement("uri")
                uri.appendChild(self.trans.createTextNode(str(item)))
                element.appendChild(uri)
            elif isinstance(item, BNode):
                bnode = self.trans.createElement("bnode")
                bnode.appendChild(self.trans.createTextNode(str(item)))
                element.appendChild(bnode)
            else:
                raise Exception("Unknown element: " + item)
        self.trans.childNodes[0].appendChild(element)

def __setattr__(self, name, values):
        self._objectGraph._load(self.uri)
        unwrappedValues = []
        for value in values:
            # unwrap rdfobjects:
            if isinstance(value, RDFObject):
                unwrappedValues.append(value.uri)
            # pass through rdflib objects:
            elif isinstance(value, URIRef) or isinstance(value, BNode) or isinstance(value, Literal):
                unwrappedValues.append(value)
            # wrap literals:
            else:
                unwrappedValues.append(Literal(value))
        # look for a property mapping for this name:
        prop = self._getProp(name)
        if name.startswith("r_"):
            self._objectGraph._setSubjects(unwrappedValues, prop, self.uri)
        else:
            self._objectGraph._setObjects(self.uri, prop, unwrappedValues)

def _add_date_triple(self, subject, predicate, value, _type=Literal):
        '''
        Adds a new triple with a date object

        Dates are parsed using dateutil, and if the date obtained is correct,
        added to the graph as an XSD.dateTime value.

        If there are parsing errors, the literal string value is added.
        '''
        if not value:
            return
        try:
            default_datetime = datetime.datetime(1, 1, 1, 0, 0, 0)
            _date = parse_date(value, default=default_datetime)

            self.g.add((subject, predicate, _type(_date.isoformat(),
                                                  datatype=XSD.dateTime)))
        except ValueError:
            self.g.add((subject, predicate, _type(value)))

def test_object_list(self):

        p = RDFProfile(_default_graph())

        p.g.add((URIRef('http://example.org/datasets/1'),
                 DCAT.keyword,
                 Literal('space')))
        p.g.add((URIRef('http://example.org/datasets/1'),
                 DCAT.keyword,
                 Literal('moon')))

        value = p._object_value_list(URIRef('http://example.org/datasets/1'),
                                     DCAT.keyword)

        assert isinstance(value, list)
        assert isinstance(value[0], unicode)
        eq_(len(value), 2)
        eq_(sorted(value), ['moon', 'space'])

def test_dataset_license_from_distribution_by_title(self):
        # license_id retrieved from dct:title of dcat:license object
        g = Graph()

        dataset = URIRef("http://example.org/datasets/1")
        g.add((dataset, RDF.type, DCAT.Dataset))

        distribution = URIRef("http://example.org/datasets/1/ds/1")
        g.add((distribution, RDF.type, DCAT.Distribution))
        g.add((dataset, DCAT.distribution, distribution))
        license = BNode()
        g.add((distribution, DCT.license, license))
        g.add((license, DCT.title, Literal("Creative Commons Attribution")))

        p = RDFParser(profiles=['euro_dcat_ap'])

        p.g = g

        dataset = [d for d in p.datasets()][0]
        eq_(dataset['license_id'], 'cc-by')

def test_distribution_access_url(self):
        g = Graph()

        dataset1 = URIRef("http://example.org/datasets/1")
        g.add((dataset1, RDF.type, DCAT.Dataset))

        distribution1_1 = URIRef("http://example.org/datasets/1/ds/1")
        g.add((distribution1_1, RDF.type, DCAT.Distribution))
        g.add((distribution1_1, DCAT.accessURL, Literal('http://access.url.org')))
        g.add((dataset1, DCAT.distribution, distribution1_1))

        p = RDFParser(profiles=['euro_dcat_ap'])

        p.g = g

        datasets = [d for d in p.datasets()]

        resource = datasets[0]['resources'][0]

        eq_(resource['url'], u'http://access.url.org')
        assert 'download_url' not in resource

def test_distribution_download_url(self):
        g = Graph()

        dataset1 = URIRef("http://example.org/datasets/1")
        g.add((dataset1, RDF.type, DCAT.Dataset))

        distribution1_1 = URIRef("http://example.org/datasets/1/ds/1")
        g.add((distribution1_1, RDF.type, DCAT.Distribution))
        g.add((distribution1_1, DCAT.downloadURL, Literal('http://download.url.org')))
        g.add((dataset1, DCAT.distribution, distribution1_1))

        p = RDFParser(profiles=['euro_dcat_ap'])

        p.g = g

        datasets = [d for d in p.datasets()]

        resource = datasets[0]['resources'][0]

        eq_(resource['url'], u'http://download.url.org')
        eq_(resource['download_url'], u'http://download.url.org')

def test_distribution_both_access_and_download_url(self):
        g = Graph()

        dataset1 = URIRef("http://example.org/datasets/1")
        g.add((dataset1, RDF.type, DCAT.Dataset))

        distribution1_1 = URIRef("http://example.org/datasets/1/ds/1")
        g.add((distribution1_1, RDF.type, DCAT.Distribution))
        g.add((distribution1_1, DCAT.accessURL, Literal('http://access.url.org')))
        g.add((distribution1_1, DCAT.downloadURL, Literal('http://download.url.org')))
        g.add((dataset1, DCAT.distribution, distribution1_1))

        p = RDFParser(profiles=['euro_dcat_ap'])

        p.g = g

        datasets = [d for d in p.datasets()]

        resource = datasets[0]['resources'][0]

        eq_(resource['url'], u'http://access.url.org')
        eq_(resource['download_url'], u'http://download.url.org')

def test_distribution_format_imt_and_format(self):
        g = Graph()

        dataset1 = URIRef("http://example.org/datasets/1")
        g.add((dataset1, RDF.type, DCAT.Dataset))

        distribution1_1 = URIRef("http://example.org/datasets/1/ds/1")
        g.add((distribution1_1, RDF.type, DCAT.Distribution))
        g.add((distribution1_1, DCAT.mediaType, Literal('text/csv')))
        g.add((distribution1_1, DCT['format'], Literal('CSV')))
        g.add((dataset1, DCAT.distribution, distribution1_1))

        p = RDFParser(profiles=['euro_dcat_ap'])

        p.g = g

        datasets = [d for d in p.datasets()]

        resource = datasets[0]['resources'][0]

        eq_(resource['format'], u'CSV')
        eq_(resource['mimetype'], u'text/csv')

def test_distribution_format_imt_only(self):
        g = Graph()

        dataset1 = URIRef("http://example.org/datasets/1")
        g.add((dataset1, RDF.type, DCAT.Dataset))

        distribution1_1 = URIRef("http://example.org/datasets/1/ds/1")
        g.add((distribution1_1, RDF.type, DCAT.Distribution))
        g.add((distribution1_1, DCAT.mediaType, Literal('text/csv')))
        g.add((dataset1, DCAT.distribution, distribution1_1))

        p = RDFParser(profiles=['euro_dcat_ap'])

        p.g = g

        datasets = [d for d in p.datasets()]

        resource = datasets[0]['resources'][0]
        if toolkit.check_ckan_version(min_version='2.3'):
            eq_(resource['format'], u'CSV')
            eq_(resource['mimetype'], u'text/csv')
        else:
            eq_(resource['format'], u'text/csv')

def test_distribution_format_imt_only_normalize_false(self):
        g = Graph()

        dataset1 = URIRef("http://example.org/datasets/1")
        g.add((dataset1, RDF.type, DCAT.Dataset))

        distribution1_1 = URIRef("http://example.org/datasets/1/ds/1")
        g.add((distribution1_1, RDF.type, DCAT.Distribution))
        g.add((distribution1_1, DCAT.mediaType, Literal('text/csv')))
        g.add((dataset1, DCAT.distribution, distribution1_1))

        p = RDFParser(profiles=['euro_dcat_ap'])

        p.g = g

        datasets = [d for d in p.datasets()]

        resource = datasets[0]['resources'][0]

        eq_(resource['format'], u'text/csv')
        eq_(resource['mimetype'], u'text/csv')

def test_distribution_format_format_only_normalize_false(self):
        g = Graph()

        dataset1 = URIRef("http://example.org/datasets/1")
        g.add((dataset1, RDF.type, DCAT.Dataset))

        distribution1_1 = URIRef("http://example.org/datasets/1/ds/1")
        g.add((distribution1_1, RDF.type, DCAT.Distribution))
        g.add((distribution1_1, DCT['format'], Literal('CSV')))
        g.add((dataset1, DCAT.distribution, distribution1_1))

        p = RDFParser(profiles=['euro_dcat_ap'])

        p.g = g

        datasets = [d for d in p.datasets()]

        resource = datasets[0]['resources'][0]

        eq_(resource['format'], u'CSV')
        assert 'mimetype' not in resource

def test_distribution_format_unknown_imt(self):
        g = Graph()

        dataset1 = URIRef("http://example.org/datasets/1")
        g.add((dataset1, RDF.type, DCAT.Dataset))

        distribution1_1 = URIRef("http://example.org/datasets/1/ds/1")
        g.add((distribution1_1, RDF.type, DCAT.Distribution))
        g.add((distribution1_1, DCAT.mediaType, Literal('text/unknown-imt')))
        g.add((dataset1, DCAT.distribution, distribution1_1))

        p = RDFParser(profiles=['euro_dcat_ap'])

        p.g = g

        datasets = [d for d in p.datasets()]

        resource = datasets[0]['resources'][0]

        eq_(resource['format'], u'text/unknown-imt')
        eq_(resource['mimetype'], u'text/unknown-imt')

def test_distribution_format_imt_normalized(self):
        g = Graph()

        dataset1 = URIRef("http://example.org/datasets/1")
        g.add((dataset1, RDF.type, DCAT.Dataset))

        distribution1_1 = URIRef("http://example.org/datasets/1/ds/1")
        g.add((distribution1_1, RDF.type, DCAT.Distribution))
        g.add((distribution1_1, DCAT.mediaType, Literal('text/unknown-imt')))
        g.add((dataset1, DCAT.distribution, distribution1_1))

        p = RDFParser(profiles=['euro_dcat_ap'])

        p.g = g

        datasets = [d for d in p.datasets()]

        resource = datasets[0]['resources'][0]

        eq_(resource['format'], u'text/unknown-imt')
        eq_(resource['mimetype'], u'text/unknown-imt')

def test_spatial_rdfs_label(self):
        g = Graph()

        dataset = URIRef('http://example.org/datasets/1')
        g.add((dataset, RDF.type, DCAT.Dataset))

        spatial_uri = URIRef('http://geonames/Newark')
        g.add((dataset, DCT.spatial, spatial_uri))

        g.add((spatial_uri, RDF.type, DCT.Location))
        g.add((spatial_uri, RDFS.label, Literal('Newark')))

        p = RDFParser(profiles=['euro_dcat_ap'])

        p.g = g

        datasets = [d for d in p.datasets()]

        extras = self._extras(datasets[0])

        eq_(extras['spatial_text'], 'Newark')

def test_spatial_wkt_only(self):
        g = Graph()

        dataset = URIRef('http://example.org/datasets/1')
        g.add((dataset, RDF.type, DCAT.Dataset))

        spatial_uri = URIRef('http://geonames/Newark')
        g.add((dataset, DCT.spatial, spatial_uri))

        g.add((spatial_uri, RDF.type, DCT.Location))
        g.add((spatial_uri,
               LOCN.geometry,
               Literal('POINT (67 89)', datatype=GSP.wktLiteral)))

        p = RDFParser(profiles=['euro_dcat_ap'])

        p.g = g

        datasets = [d for d in p.datasets()]

        extras = self._extras(datasets[0])
        # NOTE: geomet returns floats for coordinates on WKT -> GeoJSON
        eq_(extras['spatial'], '{"type": "Point", "coordinates": [67.0, 89.0]}')

def test_spatial_literal_only(self):
        g = Graph()

        dataset = URIRef('http://example.org/datasets/1')
        g.add((dataset, RDF.type, DCAT.Dataset))

        g.add((dataset, DCT.spatial, Literal('Newark')))

        p = RDFParser(profiles=['euro_dcat_ap'])

        p.g = g

        datasets = [d for d in p.datasets()]

        extras = self._extras(datasets[0])

        eq_(extras['spatial_text'], 'Newark')
        assert_true('spatial_uri' not in extras)
        assert_true('spatial' not in extras)

def _add_agent(self, _dict, ref, basekey, _type):
        ''' Stores the Agent in this format:
                <dct:publisher rdf:resource="http://dati.gov.it/resource/Amministrazione/r_liguri"/>
                    <dcatapit:Agent rdf:about="http://dati.gov.it/resource/Amministrazione/r_liguri">
                        <rdf:type rdf:resource="&foaf;Agent"/>
                        <dct:identifier>r_liguri</dct:identifier>
                        <foaf:name>Regione Liguria</foaf:name>
                    </dcatapit:Agent>

            Returns the ref to the agent node
        '''

        agent_name = self._get_dict_value(_dict, basekey + '_name', 'N/A')
        agent_id = self._get_dict_value(_dict, basekey + '_identifier','N/A')

        agent = BNode()

        self.g.add((agent, RDF['type'], DCATAPIT.Agent))
        self.g.add((agent, RDF['type'], FOAF.Agent))
        self.g.add((ref, _type, agent))

        self.g.add((agent, FOAF.name, Literal(agent_name)))
        self.g.add((agent, DCT.identifier, Literal(agent_id)))

        return agent

def test_null_values_with_multiple_strings():
    csvw = CSVW(csv_path="tests/null1.csv",
                metadata_path="tests/null1.multiple.csv-metadata.json")
    rdf_contents = csvw.to_rdf()
    g = ConjunctiveGraph()
    g.parse(data=rdf_contents, format="turtle")

    all_objects = {x for x in g.objects()}

    assert Literal('null_key', datatype=XSD.token) not in all_objects
    assert Literal('null_sector') not in all_objects
    assert Literal('null_id', datatype=XSD.token) not in all_objects
    for id in ['10', '11', '12', '13']:
        assert Literal(id, datatype=XSD.token) not in all_objects

    all_preds = {x for x in g.predicates()}
    assert id_uri not in all_preds

    assert Literal('1', datatype=XSD.token) not in all_objects

def test_date():
    with CSVW(csv_path="tests/datatypes.date.csv",
              metadata_path="tests/datatypes.date.csv-metadata.json") as csvw:
        rdf_output = csvw.to_rdf()

    g = ConjunctiveGraph()
    g.parse(data=rdf_output, format="turtle")

    date1_lit = Literal("2017-01-09", datatype=XSD.date)
    assert len(list(g.triples((NS['event/1'], NS['date1'], date1_lit)))) == 1

    date2_lit = Literal("2017-01-10Z", datatype=XSD.date)
    assert len(list(g.triples((NS['event/1'], NS['date2'], date2_lit)))) == 1

    date3_lit = Literal("2017-01-11", datatype=XSD.date)
    assert len(list(g.triples((NS['event/1'], NS['date3'], date3_lit)))) == 1

    date4_lit = Literal("2002-09-24-06:00", datatype=XSD.date)
    assert len(list(g.triples((NS['event/1'], NS['date4'], date4_lit)))) == 1

    date5_lit = Literal("2002-09-24+04:00", datatype=XSD.date)
    assert len(list(g.triples((NS['event/1'], NS['date5'], date5_lit)))) == 1

def test_datetime():
    with CSVW(csv_path="tests/datatypes.datetime.csv",
              metadata_path="tests/datatypes.datetime.csv-metadata.json") as csvw:
        rdf_output = csvw.to_rdf()

    g = ConjunctiveGraph()
    g.parse(data=rdf_output, format="turtle")

    dt1_lit = Literal("2002-05-30T09:00:00", datatype=XSD.dateTime)
    assert len(list(g.triples((NS['event/1'], NS['datetime1'], dt1_lit)))) == 1

    dt2_lit = Literal("2002-05-30T09:30:10.5", datatype=XSD.dateTime)
    assert len(list(g.triples((NS['event/1'], NS['datetime2'], dt2_lit)))) == 1

    dt3_lit = Literal("2002-05-30T09:30:10Z", datatype=XSD.dateTime)
    assert len(list(g.triples((NS['event/1'], NS['datetime3'], dt3_lit)))) == 1

    dt4_lit = Literal("2002-05-30T09:30:10-06:00", datatype=XSD.dateTime)
    assert len(list(g.triples((NS['event/1'], NS['datetime4'], dt4_lit)))) == 1

    dt5_lit = Literal("2002-05-30T09:30:10+04:00", datatype=XSD.dateTime)
    assert len(list(g.triples((NS['event/1'], NS['datetime5'], dt5_lit)))) == 1

    datestamp = Literal("2004-04-12T13:20:00-05:00", datatype=XSD.dateTimeStamp)
    assert len(list(g.triples((NS['event/1'], NS['datetimestamp'], datestamp)))) == 1

def test_bool_with_format():
    csvw = CSVW(csv_path="tests/datatypes.bool.csv",
                metadata_path="tests/datatypes.bool.csv-metadata.json")
    rdf_output = csvw.to_rdf()
    g = ConjunctiveGraph()
    g.parse(data=rdf_output, format="turtle")

    true_lit = Literal(True, datatype=XSD.boolean)
    false_lit = Literal(False, datatype=XSD.boolean)

    assert len(list(g.triples((NS['event/1'], NS['bool1'], true_lit)))) == 1
    assert len(list(g.triples((NS['event/1'], NS['bool2'], true_lit)))) == 1
    assert len(list(g.triples((NS['event/1'], NS['bool3'], true_lit)))) == 1
    assert len(list(g.triples((NS['event/2'], NS['bool1'], false_lit)))) == 1
    assert len(list(g.triples((NS['event/2'], NS['bool2'], false_lit)))) == 1
    assert len(list(g.triples((NS['event/2'], NS['bool3'], false_lit)))) == 1
    assert len(list(g.triples((NS['event/3'], NS['bool1'], false_lit)))) == 1
    assert len(list(g.triples((NS['event/3'], NS['bool2'], false_lit)))) == 1
    assert len(list(g.triples((NS['event/3'], NS['bool3'], false_lit)))) == 1

def test_empty_boolean():
    csvw = CSVW(csv_path="tests/empty.csv",
                metadata_path="tests/empty.bool.csv-metadata.json")
    rdf_output = csvw.to_rdf()

    g = ConjunctiveGraph()
    g.parse(data=rdf_output, format="turtle")

    assert len(g) == 2
    assert len(list(g.triples((None, None, Literal(False))))) == 2

    csvw = CSVW(csv_path="tests/empty.csv",
                metadata_path="tests/empty.invalid_base.csv-metadata.json")
    rdf_output = csvw.to_rdf()

    g = ConjunctiveGraph()
    g.parse(data=rdf_output, format="turtle")

    assert len(g) == 0

def setUp(self):
        self.graph = rdflib.Graph()
        self.entity = rdflib.URIRef("https://bibcat.org/test-entity")
        self.simple_title_bnode = rdflib.BNode()
        self.graph.add((self.entity,
                        rdflib.RDF.type,
                        BF.Title))
        self.graph.add((self.entity, BF.title, self.simple_title_bnode))
        self.graph.add((self.simple_title_bnode, 
                        BF.mainTitle, 
                        rdflib.Literal("This is a test")))
        self.top_title_bnode = rdflib.BNode()
        self.graph.add((self.entity, BF.title, self.top_title_bnode))
        secondary_title_bnode = rdflib.BNode()
        self.graph.add((self.top_title_bnode, rdflib.RDF.type, BF.Topic))
        self.graph.add((self.top_title_bnode, 
                        rdflib.RDFS.label, 
                        rdflib.Literal("This is a title and a name")))
        self.graph.add((self.top_title_bnode, SCHEMA.name, secondary_title_bnode))
        self.graph.add((secondary_title_bnode, 
                        rdflib.RDF.value,
                        rdflib.Literal("This is a name")))

def setUp(self):
        self.graph = rdflib.Graph()
        self.entity_one = rdflib.URIRef("https://bibcat.org/test-entity")
        self.graph.add((self.entity_one, 
                        rdflib.RDF.type, 
                        rdflib.RDFS.Resource))
        self.graph.add((self.entity_one, 
                        rdflib.RDFS.label, 
                        rdflib.Literal("Test Entity One", lang="en")))
        self.entity_two = rdflib.URIRef("https://bibcat.org/test-entity-two")
        self.graph.add((self.entity_two, 
                        rdflib.RDF.type, 
                        rdflib.RDFS.Resource))
        self.graph.add((self.entity_two, 
                        rdflib.RDFS.label, 
                        rdflib.Literal("Test Entity Two", lang="en")))
        title_bnode = rdflib.BNode()
        self.graph.add((self.entity_two, BF.title, title_bnode))
        self.graph.add((title_bnode, rdflib.RDF.type, BF.Title))
        self.graph.add((title_bnode, BF.subTitle, rdflib.Literal("Subtitle ")))

def __generate_object_term__(self, datatype, value):
        """Internal method takes a datatype (can be None) and returns
        the RDF Object Term

        Args:

        -----
            datatype: None, or rdflib.URIRef
            value: Varys depending on ingester
        """
        if datatype == NS_MGR.xsd.anyURI:
            term = rdflib.URIRef(value)
        elif datatype:
            term = rdflib.Literal(value, datatype=datatype)
        else:
            term = rdflib.Literal(value)
        return term