예제 #1
0
파일: generator.py 프로젝트: yyht/kgtk
 def reset_etk_doc(self,
                   doc_id: str = "http://isi.edu/default-ns/projects"):
     """
     reset the doc object and return it. Called at initialization and after outputting triples.
     """
     kg_schema = KGSchema()
     kg_schema.add_schema("@prefix : <http://isi.edu/> .", "ttl")
     self.etk = ETK(kg_schema=kg_schema, modules=ETKModule)
     self.doc = self.etk.create_document({}, doc_id=doc_id)
     for k, v in wiki_namespaces.items():
         if k in self.prefix_dict:
             self.doc.kg.bind(k, self.prefix_dict[k])
         else:
             self.doc.kg.bind(k, v)
예제 #2
0
 def __init__(
     self,
     propFile: str,
     labelSet: str,
     aliasSet: str,
     descriptionSet: str,
     n: int,
     destFp: TextIO = sys.stdout,
 ):
     self.propTypes = self.__setPropTypes(propFile)
     self.labelSet, self.aliasSet, self.descriptionSet = self.__setSets(
         labelSet, aliasSet, descriptionSet)
     # TODO handle standard output
     self.fp = destFp
     self.n = int(n)
     self.read = 0
     # serialize prfix
     kg_schema = KGSchema()
     kg_schema.add_schema("@prefix : <http://isi.edu/> .", "ttl")
     self.etk = ETK(kg_schema=kg_schema, modules=ETKModule)
     self.doc = self.__setDoc()
     self.__serialize_prefix()
예제 #3
0
    def model_schema(self):
        # read data
        data = self.read_data(self.data['schema'])

        # initialize KGSchema
        custom_dict, ns_dict = {}, {'wd': 'http://www.wikidata.org/entity/'}
        for each in data['prefix']:
            for k, v in each.items():
                custom_dict[k] = v
                if k != 'wd':
                    ns_dict[k] = v + '/entity'
        kg_schema = KGSchema()
        kg_schema.add_schema('@prefix : <http://isi.edu/> .', 'ttl')
        etk = ETK(kg_schema=kg_schema, modules=ETKModule)
        doc = etk.create_document({},
                                  doc_id='http://isi.edu/default-ns/projects')

        # bind prefix
        doc = create_custom_prefix(doc, custom_dict)

        type_map = {
            'quantity': Datatype.QuantityValue,
            'url': URLValue,
            'item': Datatype.Item,
            'time': Datatype.TimeValue,
            'string': Datatype.StringValue,
            'text': Datatype.MonolingualText
        }

        # model schema
        for k, v in data.items():
            if ':' in k:
                k = k.split(':')
                if 'Q' in k[1]:
                    p = WDItem(k[1], namespace=k[0], creator=':datamart')
                elif 'P' in k[1]:
                    p = WDProperty(k[1],
                                   type_map[v['type']],
                                   namespace=k[0],
                                   creator=':datamart')
                else:
                    raise Exception('There is no P/Q information.')
                    return None

                for lang, value in v['description'].items():
                    for val in value:
                        p.add_description(val, lang=lang)

                for lang, value in v['label'].items():
                    for val in value:
                        p.add_label(val, lang=lang)

                for node, value in v['statements'].items():
                    ns = node.split(':')[0] if ':' in node else 'wd'
                    for val in value:
                        prop_type = self.get_property_type(node, ns_dict[ns])
                        if prop_type == 'WikibaseItem':
                            v = Item(str(val['value']))
                        elif prop_type == 'WikibaseProperty':
                            v = Property(val['value'])
                        elif prop_type == 'String':
                            v = StringValue(val['value'])
                        elif prop_type == 'Quantity':
                            v = QuantityValue(val['value'])
                        elif prop_type == 'Url':
                            v = URLValue(val['value'])
                        elif prop_type == 'Monolingualtext':
                            v = MonolingualText(val['value'], val['lang'])
                        p.add_statement(node, v)
                doc.kg.add_subject(p)

        return doc
예제 #4
0
    def model_statement(self):
        # initialize KGSchema
        kg_schema = KGSchema()
        kg_schema.add_schema('@prefix : <http://isi.edu/> .', 'ttl')
        etk = ETK(kg_schema=kg_schema, modules=ETKModule)
        doc = etk.create_document({},
                                  doc_id='http://isi.edu/default-ns/projects')

        # bind prefix
        doc = create_custom_prefix(doc, custom_dict={self.ns: self.uri})

        # extract files
        self.extract_files()

        # model statement
        inputs = self.data['inputs']
        for k, v in inputs.items():
            if k != 'metadata':
                # construct wikifier instance
                if k == 'wikifier' and not v['existed']:
                    q = WDItem(v['qnode'],
                               namespace=self.ns,
                               creator=':datamart')
                    q.add_label('A wikifier file for ' +
                                inputs['dataset']['content']['filename'],
                                lang='en')
                    q.add_statement('P31', Item(
                        'SDQ1001',
                        namespace=self.ns))  # an instance of Wikifier
                    q.add_statement('P127',
                                    Item('SDQ1003',
                                         namespace=self.ns))  # belongs to
                    q.add_statement('SDP3003',
                                    StringValue(v['content']),
                                    namespace=self.ns)  # hasFileContent
                    q.add_statement('SDP3004',
                                    StringValue(v['hashcode']),
                                    namespace=self.ns)  # hashValue

                # construct mapping_file instance
                elif k == 'mappingFile' and not v['existed']:
                    q = WDItem(v['qnode'],
                               namespace=self.ns,
                               creator=':datamart')
                    q.add_label('A mapping file for ' +
                                inputs['dataset']['content']['filename'],
                                lang='en')
                    q.add_statement('P31', Item(
                        'SDQ1002',
                        namespace=self.ns))  # an instance of MappingFile
                    q.add_statement('P170', StringValue('T2WML'))
                    q.add_statement('P127', Item('SDQ1003', namespace=self.ns))
                    q.add_statement('SDP3003',
                                    StringValue(json.dumps(v['content'])),
                                    namespace=self.ns)
                    q.add_statement('SDP3004',
                                    StringValue(v['hashcode']),
                                    namespace=self.ns)

                # construct dataset instance
                elif k == 'dataset' and not v['existed']:
                    q = WDItem(v['qnode'],
                               namespace=self.ns,
                               creator=':datamart')
                    q.add_label(v['content']['title'], lang='en')
                    q.add_description(v['content']['description'], lang='en')
                    q.add_statement('P31',
                                    Item('Q1172284'))  # an instance of Dataset
                    q.add_statement('SDP3001',
                                    Item(inputs['wikifier']['qnode'],
                                         namespace=self.ns),
                                    namespace=self.ns)  # a wikifier file
                    q.add_statement('SDP3002',
                                    Item(inputs['mappingFile']['qnode'],
                                         namespace=self.ns),
                                    namespace=self.ns)  # a mapping file
                    q.add_statement('P1476', StringValue(
                        v['content']['title']))  # title
                    q.add_statement(
                        'P921',
                        StringValue(v['content']['description']))  # described
                    q.add_statement('P127',
                                    Item('SDQ1003',
                                         namespace=self.ns))  # belongs to
                    q.add_statement('SDP2004',
                                    StringValue(', '.join(
                                        v['content']['keywords'])),
                                    namespace=self.ns)  # keywords
                    q.add_statement('SDP3004',
                                    StringValue(v['hashcode']),
                                    namespace=self.ns)

                    if self.data['storeColumnValue']:
                        for data in v['content']['variable_measured']:
                            statement = q.add_statement(
                                'SDP2005',
                                StringValue(data['column_name']),
                                namespace=self.ns)  # variable measured
                            statement.add_qualifier(
                                'SDP2006',
                                StringValue(data['values_of_a_column']),
                                namespace=self.ns)  # the values of a column
                            statement.add_qualifier(
                                'SDP2007',
                                Item(data['data_structure_type']),
                                namespace=self.ns)  # data structure type
                            statement.add_qualifier(
                                'SDP2008',
                                URLValue(data['semantic_type_identifier']),
                                namespace=self.ns)  # semantic type
                            statement.add_qualifier(
                                'P1545',
                                QuantityValue(
                                    data['column_index'],
                                    namespace=self.ns))  # column index

                doc.kg.add_subject(q)

        return doc
예제 #5
0
        douglas.add_statement('P2048', QuantityValue(1.96,
                                                     unit=Item('Q11573')))

        # official website
        # statement = douglas.add_statement('P856', URLValue('http://douglasadams.com/'))
        statement = douglas.add_truthy_statement(
            'P856', URLValue('http://douglasadams.com/'))

        statement.add_qualifier('P407', Item('Q1860'))

        # Freebase ID
        douglas.add_statement(
            'P646',
            ExternalIdentifier('/m/0282x', URLValue('http://g.co/kg/m/0282x')))

        doc.kg.add_subject(douglas)
        return list()


if __name__ == "__main__":
    kg_schema = KGSchema()
    kg_schema.add_schema('@prefix : <http://isi.edu/> .', 'ttl')
    etk = ETK(kg_schema=kg_schema, modules=ExampleETKModule)
    doc = etk.create_document({}, doc_id="http://isi.edu/default-ns/projects")

    revise(True)

    docs = etk.process_ems(doc)

    print(docs[0].kg.serialize('ttl'))
예제 #6
0
    def _init_etk():
        # initialize for etk
        kg_schema = KGSchema()
        kg_schema.add_schema('@prefix : <http://isi.edu/> .', 'ttl')
        etk = ETK(kg_schema=kg_schema, modules=ETKModule)
        doc = etk.create_document({},
                                  doc_id="http://isi.edu/default-ns/projects")

        # bind prefixes
        doc.kg.bind('wikibase', 'http://wikiba.se/ontology#')
        doc.kg.bind('wd', 'http://www.wikidata.org/entity/')
        doc.kg.bind('wdt', 'http://www.wikidata.org/prop/direct/')
        doc.kg.bind('wdtn', 'http://www.wikidata.org/prop/direct-normalized/')
        doc.kg.bind('wdno', 'http://www.wikidata.org/prop/novalue/')
        doc.kg.bind('wds', 'http://www.wikidata.org/entity/statement/')
        doc.kg.bind('wdv', 'http://www.wikidata.org/value/')
        doc.kg.bind('wdref', 'http://www.wikidata.org/reference/')
        doc.kg.bind('p', 'http://www.wikidata.org/prop/')
        doc.kg.bind('pr', 'http://www.wikidata.org/prop/reference/')
        doc.kg.bind('prv', 'http://www.wikidata.org/prop/reference/value/')
        doc.kg.bind(
            'prn', 'http://www.wikidata.org/prop/reference/value-normalized/')
        doc.kg.bind('ps', 'http://www.wikidata.org/prop/statement/')
        doc.kg.bind('psv', 'http://www.wikidata.org/prop/statement/value/')
        doc.kg.bind(
            'psn', 'http://www.wikidata.org/prop/statement/value-normalized/')
        doc.kg.bind('pq', 'http://www.wikidata.org/prop/qualifier/')
        doc.kg.bind('pqv', 'http://www.wikidata.org/prop/qualifier/value/')
        doc.kg.bind(
            'pqn', 'http://www.wikidata.org/prop/qualifier/value-normalized/')
        doc.kg.bind('skos', 'http://www.w3.org/2004/02/skos/core#')
        doc.kg.bind('prov', 'http://www.w3.org/ns/prov#')
        doc.kg.bind('schema', 'http://schema.org/')

        # give definition of the nodes we definied
        p = WDProperty('C2001', Datatype.MonolingualText)
        p.add_label('datamart identifier', lang='en')
        p.add_description('identifier of a dataset in the Datamart system',
                          lang='en')
        p.add_statement('P31', Item('Q19847637'))
        p.add_statement('P1629', Item('Q1172284'))
        doc.kg.add_subject(p)

        p = WDProperty('C2004', Datatype.StringValue)
        p.add_label('keywords', lang='en')
        p.add_description(
            'keywords associated with an item to facilitate finding the item using text search',
            lang='en')
        p.add_statement('P31', Item('Q18616576'))
        doc.kg.add_subject(p)

        p = WDProperty('C2005', Datatype.StringValue)
        p.add_label('variable measured', lang='en')
        p.add_description('the variables measured in a dataset', lang='en')
        p.add_statement('P31', Item('Q18616576'))
        p.add_statement('P1628',
                        URLValue('http://schema.org/variableMeasured'))
        doc.kg.add_subject(p)

        p = WDProperty('C2006', Datatype.StringValue)
        p.add_label('values', lang='en')
        p.add_description(
            'the values of a variable represented as a text document',
            lang='en')
        p.add_statement('P31', Item('Q18616576'))
        doc.kg.add_subject(p)

        p = WDProperty('C2007', Datatype.Item)
        p.add_label('data type', lang='en')
        p.add_description(
            'the data type used to represent the values of a variable, integer (Q729138), Boolean (Q520777), '
            'Real (Q4385701), String (Q184754), Categorical (Q2285707)',
            lang='en')
        p.add_statement('P31', Item('Q18616576'))
        doc.kg.add_subject(p)

        p = WDProperty('C2008', Datatype.URLValue)
        p.add_label('semantic type', lang='en')
        p.add_description(
            'a URL that identifies the semantic type of a variable in a dataset',
            lang='en')
        p.add_statement('P31', Item('Q18616576'))
        doc.kg.add_subject(p)

        p = WDProperty('C2010', Datatype.StringValue)
        p.add_label('extra information', lang='en')
        p.add_description(
            'some extra information that may needed for this dataset',
            lang='en')
        doc.kg.add_subject(p)

        p = WDProperty('C2011', Datatype.TimeValue)
        p.add_label('start date', lang='en')
        p.add_description(
            'The earlist time exist in this dataset, only valid when there exists time format data in this dataset',
            lang='en')
        p.add_statement('P31', Item('Q18616576'))
        doc.kg.add_subject(p)

        p = WDProperty('C2012', Datatype.TimeValue)
        p.add_label('end date', lang='en')
        p.add_description(
            'The latest time exist in this dataset, only valid when there exists time format data in this dataset',
            lang='en')
        p.add_statement('P31', Item('Q18616576'))
        doc.kg.add_subject(p)

        p = WDProperty('C2013', Datatype.QuantityValue)
        p.add_label('time granularity', lang='en')
        p.add_description('time granularity in a dataset', lang='en')
        p.add_statement('P31', Item('Q18616576'))
        doc.kg.add_subject(p)

        p = WDProperty('C2014', Datatype.StringValue)
        p.add_label('uploader information', lang='en')
        p.add_description('information about who uploaded and when uploaded',
                          lang='en')
        doc.kg.add_subject(p)
        return doc
예제 #7
0
    def __init__(self, query_server=None, update_server=None):
        self.punctuation_table = str.maketrans(
            dict.fromkeys(string.punctuation))
        if query_server and update_server:
            self.query_server = query_server
            self.update_server = update_server
        else:
            self.query_server = DATAMRT_SERVER
            self.update_server = DATAMRT_SERVER

        # initialize
        kg_schema = KGSchema()
        kg_schema.add_schema('@prefix : <http://isi.edu/> .', 'ttl')
        etk = ETK(kg_schema=kg_schema, modules=ETKModule)
        self.doc = etk.create_document(
            {}, doc_id="http://isi.edu/default-ns/projects")

        # bind prefixes
        self.doc.kg.bind('wikibase', 'http://wikiba.se/ontology#')
        self.doc.kg.bind('wd', 'http://www.wikidata.org/entity/')
        self.doc.kg.bind('wdt', 'http://www.wikidata.org/prop/direct/')
        self.doc.kg.bind('wdtn',
                         'http://www.wikidata.org/prop/direct-normalized/')
        self.doc.kg.bind('wdno', 'http://www.wikidata.org/prop/novalue/')
        self.doc.kg.bind('wds', 'http://www.wikidata.org/entity/statement/')
        self.doc.kg.bind('wdv', 'http://www.wikidata.org/value/')
        self.doc.kg.bind('wdref', 'http://www.wikidata.org/reference/')
        self.doc.kg.bind('p', 'http://www.wikidata.org/prop/')
        self.doc.kg.bind('pr', 'http://www.wikidata.org/prop/reference/')
        self.doc.kg.bind('prv',
                         'http://www.wikidata.org/prop/reference/value/')
        self.doc.kg.bind(
            'prn', 'http://www.wikidata.org/prop/reference/value-normalized/')
        self.doc.kg.bind('ps', 'http://www.wikidata.org/prop/statement/')
        self.doc.kg.bind('psv',
                         'http://www.wikidata.org/prop/statement/value/')
        self.doc.kg.bind(
            'psn', 'http://www.wikidata.org/prop/statement/value-normalized/')
        self.doc.kg.bind('pq', 'http://www.wikidata.org/prop/qualifier/')
        self.doc.kg.bind('pqv',
                         'http://www.wikidata.org/prop/qualifier/value/')
        self.doc.kg.bind(
            'pqn', 'http://www.wikidata.org/prop/qualifier/value-normalized/')
        self.doc.kg.bind('skos', 'http://www.w3.org/2004/02/skos/core#')
        self.doc.kg.bind('prov', 'http://www.w3.org/ns/prov#')
        self.doc.kg.bind('schema', 'http://schema.org/')

        # give definition of the nodes we definied
        p = WDProperty('C2001', Datatype.MonolingualText)
        p.add_label('keywords', lang='en')
        p.add_description('identifier of a dataset in the Datamart system',
                          lang='en')
        p.add_statement('P31', Item('Q19847637'))
        p.add_statement('P1629', Item('Q1172284'))
        self.doc.kg.add_subject(p)

        p = WDProperty('C2004', Datatype.StringValue)
        p.add_label('datamart identifier', lang='en')
        p.add_description(
            'keywords associated with an item to facilitate finding the item using text search',
            lang='en')
        p.add_statement('P31', Item('Q18616576'))
        self.doc.kg.add_subject(p)

        p = WDProperty('C2005', Datatype.StringValue)
        p.add_label('variable measured', lang='en')
        p.add_description('the variables measured in a dataset', lang='en')
        p.add_statement('P31', Item('Q18616576'))
        p.add_statement('P1628',
                        URLValue('http://schema.org/variableMeasured'))
        self.doc.kg.add_subject(p)

        p = WDProperty('C2006', Datatype.StringValue)
        p.add_label('values', lang='en')
        p.add_description(
            'the values of a variable represented as a text document',
            lang='en')
        p.add_statement('P31', Item('Q18616576'))
        self.doc.kg.add_subject(p)

        p = WDProperty('C2007', Datatype.Item)
        p.add_label('data type', lang='en')
        p.add_description(
            'the data type used to represent the values of a variable, integer (Q729138), Boolean (Q520777), '
            'Real (Q4385701), String (Q184754), Categorical (Q2285707)',
            lang='en')
        p.add_statement('P31', Item('Q18616576'))
        self.doc.kg.add_subject(p)

        p = WDProperty('C2008', Datatype.URLValue)
        p.add_label('semantic type', lang='en')
        p.add_description(
            'a URL that identifies the semantic type of a variable in a dataset',
            lang='en')
        p.add_statement('P31', Item('Q18616576'))
        self.doc.kg.add_subject(p)

        # get the starting source id
        sparql_query = """
            prefix wdt: <http://www.wikidata.org/prop/direct/>
            prefix wd: <http://www.wikidata.org/entity/>
            prefix wikibase: <http://wikiba.se/ontology#>
            PREFIX p: <http://www.wikidata.org/prop/>
            PREFIX pqv: <http://www.wikidata.org/prop/qualifier/value/>
            PREFIX pq: <http://www.wikidata.org/prop/qualifier/>
            PREFIX ps: <http://www.wikidata.org/prop/statement/>
            prefix bd: <http://www.bigdata.com/rdf#>
            prefix bds: <http://www.bigdata.com/rdf/search#>

            select ?x where {
              wd:Z00000 wdt:P1114 ?x .
            }
            """
        try:
            sparql = SPARQLWrapper(self.query_server)
            sparql.setQuery(sparql_query)
            sparql.setReturnFormat(JSON)
            sparql.setMethod(POST)
            sparql.setRequestMethod(URLENCODED)
            results = sparql.query().convert()['results']['bindings']
        except:
            print("Getting query of wiki data failed!")
            raise ValueError("Unable to initialize the datamart query service")
        if not results:
            print(
                "[WARNING] No starting source id found! Will initialize the starting source with D1000001"
            )
            self.resource_id = 1000001
        else:
            self.resource_id = 1000001
    ontology = """
@prefix : <http://isi.edu/xij-rule-set#> .
@prefix owl: <http://www.w3.org/2002/07/owl#> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
:Software a owl:Class ;
          rdfs:label "Software" .
:Person a owl:Class ;
        rdfs:label "Person" .
:Developer a owl:Class ;
           rdfs:label "Developer" .
:name a owl:DatatypeProperty ;
      rdf:domain :Person ;
      rdf:range xsd:string .
:developer a owl:ObjectProperty ;
           rdfs:label "developer" ;
           rdf:domain :Software ;
           rdf:range :Developer .
    """
    kg_schema = KGSchema()
    kg_schema.add_schema(ontology, 'ttl')
    etk = ETK(kg_schema=kg_schema, modules=ExampleETKModule)
    doc = etk.create_document(sample_input,
                              doc_id="http://isi.edu/default-ns/projects")

    docs = etk.process_ems(doc)

    print(docs[0].kg.serialize('ttl'))