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Merge pull request #199 from carlajimenezarganda/master
assigment4
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‎Assignment1/DatasetDescriptions.csv‎

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@@ -15,3 +15,4 @@ Rodrigo Nieto Rodríguez; Rodrix505; Puntos limpios fijos; https://datos.madrid.
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Yi Chen Chen; yichenchen2006; Principales parques y jardines municipales; https://datos.madrid.es/sites/v/index.jsp?vgnextoid=dc758935dde13410VgnVCM2000000c205a0aRCRD&vgnextchannel=374512b9ace9f310VgnVCM100000171f5a0aRCRD; Madrid ofrece un patrimonio verde de excepcional extensión y diversidad (más de 6.000 hectáreas, que suponen más de 18 metros cuadrados de parques y zonas verdes públicas por habitante de la ciudad).
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Carolina Simal;carol-2406;Arbolado en parques y zonas verdes de Madrid;https://datos.madrid.es/egob/catalogo/300264-81-Arbolado-parques-historico.csv;Número de arboles por parque de Madrid de cada especie.
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Luca Alvarez; lucaam06; Bomberos. Parques de bomberos; https://datos.madrid.es/egob/catalogo/211642-0-bomberos-parques.rdf; En este conjunto de datos, puede encontrar la relación de los trece parques de bomberos existentes en la ciudad de Madrid.
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Carla Jiménez Arganda; carlajimenezarganda; Zonas verdes de Madrid: zonas estanciales y ajardinadas; https://datos.madrid.es/egob/catalogo/300226-0-zonas-verdes-estanciales.rdf; Localización, características y tipologías de las zonas verdes estanciales y ajardinadas de Madrid.

‎Assignment4/Carla_Jimenez_24C064/task06.py‎

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# -*- coding: utf-8 -*-
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"""task06.py
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Automatically generated by Colab.
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Original file is located at
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https://colab.research.google.com/drive/107-7n1v0TnGM56KiXLUxrwTFF5U3qWnr
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"""
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#!pip install rdflib
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import rdflib
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print(rdflib.__version__)
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import urllib.request
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url = 'https://raw.githubusercontent.com/FacultadInformatica-LinkedData/Curso2025-2026/refs/heads/master/Assignment4/course_materials/python/validation.py'
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urllib.request.urlretrieve(url, 'validation.py')
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from validation import Report
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from rdflib import Graph, Namespace, Literal, XSD
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from rdflib.namespace import RDF, RDFS
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from validation import Report
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g = Graph()
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r = Report()
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ns = Namespace("http://mydomain.org#")
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g.namespace_manager.bind('ns', ns, override=False)
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g.add((ns.Researcher, RDF.type, RDFS.Class))
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for s, p, o in g:
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print(s, p, o)
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ontology = Namespace("http://www.oeg-upm.net/Ontology#")
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person = Namespace("http://oeg.fi.upm.es/def/people#")
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g.namespace_manager.bind('ontology', ontology)
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g.namespace_manager.bind('person', person)
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# Clases
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g.add((person.Person , RDF.type, RDFS.Class))
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g.add((person.Professor , RDF.type, RDFS.Class))
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g.add((person.FullProfessor , RDF.type, RDFS.Class))
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g.add((person.AssociateProfessor , RDF.type, RDFS.Class))
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g.add((person.InterimAssociateProfessor , RDF.type, RDFS.Class))
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# Etiquetas
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g.add((person.Person, RDFS.label, Literal("Person", datatype=XSD.string)))
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g.add((person.Professor, RDFS.label, Literal("Professor", datatype=XSD.string)))
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g.add((person.FullProfessor, RDFS.label, Literal("FullProfessor", datatype=XSD.string)))
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g.add((person.AssociateProfessor, RDFS.label, Literal("AssociateProfessor", datatype=XSD.string)))
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g.add((person.InterimAssociateProfessor, RDFS.label, Literal("InterimAssociateProfessor", datatype=XSD.string)))
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# Subclases
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g.add((person.Professor, RDFS.subClassOf, person.Person))
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g.add((person.FullProfessor, RDFS.subClassOf, person.Professor))
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g.add((person.AssociateProfessor, RDFS.subClassOf, person.Professor))
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g.add((person.InterimAssociateProfessor, RDFS.subClassOf, person.AssociateProfessor))
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r.validate_task_06_01(g)
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# Propiedades
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g.add((person.hasName , RDF.type, RDF.Property))
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g.add((person.hasHomePage , RDF.type, RDF.Property))
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g.add((person.hasColleague , RDF.type, RDF.Property))
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# Labels
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g.add((person.hasName, RDFS.label, Literal("hasName", datatype=XSD.string)))
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g.add((person.hasHomePage, RDFS.label, Literal("hasHomePage", datatype=XSD.string)))
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g.add((person.hasColleague, RDFS.label, Literal("hasColleague", datatype=XSD.string)))
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# Dominios
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g.add((person.hasName, RDFS.domain, person.Person))
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g.add((person.hasHomePage, RDFS.domain, person.FullProfessor))
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g.add((person.hasColleague, RDFS.domain, person.Person))
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# Rangos
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g.add((person.hasName, RDFS.range, RDFS.Literal))
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g.add((person.hasColleague, RDFS.range, person.Person))
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g.add((person.hasHomePage, RDFS.range, RDFS.Literal))
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r.validate_task_06_02(g)
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data = Namespace("http://oeg.fi.upm.es/resource/person/")
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# Instancias
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g.add((data.Oscar, RDF.type, person.AssociateProfessor))
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g.add((data.Asun, RDF.type, person.FullProfessor))
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g.add((data.Raul, RDF.type, person.InterimAssociateProfessor))
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# Etiquetas
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g.add((data.Oscar, RDFS.label, Literal("Oscar", datatype=XSD.string)))
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g.add((data.Asun, RDFS.label, Literal("Asun", datatype=XSD.string)))
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g.add((data.Raul, RDFS.label, Literal("Raul", datatype=XSD.string)))
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# Relaciones / propiedades
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g.add((data.Oscar, person.hasName, Literal("Óscar Corcho García", datatype=XSD.string)))
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g.add((data.Oscar, person.hasColleague, data.Asun))
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g.add((data.Asun, person.hasColleague, data.Raul))
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g.add((data.Asun, person.hasHomePage, Literal("http://www.oeg-upm.net/", datatype=XSD.string)))
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r.validate_task_06_03(g)
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vcard = Namespace("http://www.w3.org/2001/vcard-rdf/3.0/")
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foaf = Namespace("http://xmlns.com/foaf/0.1/")
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# Tipos
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g.add((foaf.email , RDF.type, RDFS.Datatype))
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g.add((vcard.Family , RDF.type, RDF.Property))
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g.add((vcard.Given , RDF.type, RDFS.Datatype))
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# Rangos
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g.add((foaf.email , RDFS.range, XSD.string))
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g.add((vcard.Family , RDFS.range, XSD.string))
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g.add((vcard.Given , RDFS.range, XSD.string))
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# Datos de Oscar
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g.add((data.Oscar, foaf.email, Literal("[email protected]")))
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g.add((data.Oscar, vcard.Family, Literal("Corcho García")))
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g.add((data.Oscar, vcard.Given, Literal("Oscar")))
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r.validate_task_06_04(g)
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r.save_report("_Task_06")
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‎Assignment4/Carla_Jimenez_24C064/task07.py‎

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# -*- coding: utf-8 -*-
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"""task07.py
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Automatically generated by Colab.
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"""
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#!pip install rdflib # Comentada según instrucciones
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from validation import Report
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from rdflib import Graph, Namespace, Literal
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from rdflib.namespace import RDF, RDFS
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g = Graph()
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g.namespace_manager.bind('ns', Namespace("http://somewhere#"), override=False)
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github_storage = "https://raw.githubusercontent.com/FacultadInformatica-LinkedData/Curso2025-2026/master/Assignment4/course_materials"
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g.parse(github_storage + "/rdf/data06.ttl", format="ttl")
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report = Report()
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result = []
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for cls in g.subjects(RDF.type, RDFS.Class):
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super_cls = None
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for sc in g.objects(cls, RDFS.subClassOf):
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super_cls = sc
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result.append((cls, super_cls))
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for r in result:
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print(r)
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report.validate_07_1a(result)
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query = """
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SELECT ?c ?sc
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WHERE {
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?c a rdfs:Class .
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OPTIONAL { ?c rdfs:subClassOf ?sc }
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}
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"""
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for r in g.query(query):
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print(r.c, r.sc)
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report.validate_07_1b(query, g)
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from rdflib import RDF, RDFS, Namespace
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ns = Namespace("http://oeg.fi.upm.es/def/people#")
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individuals = []
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def get_all_subclasses(cls, graph):
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subclasses = set()
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for subclass in graph.subjects(RDFS.subClassOf, cls):
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subclasses.add(subclass)
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subclasses.update(get_all_subclasses(subclass, graph))
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return subclasses
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all_person_classes = set([ns.Person])
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all_person_classes.update(get_all_subclasses(ns.Person, g))
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for cls in all_person_classes:
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for ind in g.subjects(RDF.type, cls):
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if ind not in individuals:
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individuals.append(ind)
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for i in individuals:
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print(i)
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report.validate_07_02a(individuals)
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query = """
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SELECT ?ind
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WHERE {
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?ind a/rdfs:subClassOf* <http://oeg.fi.upm.es/def/people#Person> .
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}
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"""
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for r in g.query(query):
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print(r.ind)
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report.validate_07_02b(g, query)
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query = """
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SELECT ?name ?type
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WHERE {
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?person <http://oeg.fi.upm.es/def/people#knows> <http://oeg.fi.upm.es/def/people#Rocky> .
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?person <http://www.w3.org/2000/01/rdf-schema#label> ?name .
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?person a ?type .
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}
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"""
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for r in g.query(query):
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print(r.name, r.type)
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report.validate_07_03(g, query)
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query = """
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SELECT ?name ?type
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WHERE {
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?person <http://oeg.fi.upm.es/def/people#knows> <http://oeg.fi.upm.es/def/people#Rocky> .
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?person rdfs:label ?name .
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?person a ?type .
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}
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"""
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for r in g.query(query):
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print(r.name, r.type)
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report.validate_07_03(g, query)
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query = """
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SELECT DISTINCT ?ind
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WHERE {
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?ind a ?class .
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?class rdfs:subClassOf* <http://oeg.fi.upm.es/def/people#Person> .
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}
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"""
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individuals = []
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for r in g.query(query):
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individuals.append(r.ind)
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print(r.ind)
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report.validate_07_02b(g, query)
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report.save_report("_Task_07")

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