Assignment 1 y 4

Assignment1/DatasetDescriptions.csv

@@ -1,4 +1,5 @@
 Your name; Your GitHub user; Dataset name; Dataset URL; Dataset brief description
+Adrián Gómez; adrigomez6; Inventario de zonas verdes; https://datos.madrid.es/egob/catalogo/300153-0-zonas-verdes-inventario.dcat; Este conjunto de datos ofrece los datos en formato reutilizable del Inventario de Vías Públicas y Zonas Verdes, que recoge los bienes y derechos del Ayuntamiento de Madrid y sus Organismos Públicos de acuerdo a la Instrucción 5/2014, el Epígrafe correspondiente a Parques, Jardines y otras Zonas Verdes.
 Pablo Gil Gil; pggil2019-design; Principales Parques y Jardines Municipales; https://datos.madrid.es/egob/catalogo/200761-0-parques-jardines.rdf; Principales parques y zonas verdes de Madrid cuya conservación corresponde al Ayuntamiento de Madrid, con sus características detalladas 
 Rodrigo Nieto Rodríguez; Rodrix505; Puntos limpios fijos; https://datos.madrid.es/portal/site/egob/menuitem.c05c1f754a33a9fbe4b2e4b284f1a5a0/?vgnextoid=2bb427e0cb503410VgnVCM1000000b205a0aRCRD&vgnextchannel=374512b9ace9f310VgnVCM100000171f5a0aRCRD&vgnextfmt=default; Información de datos, ubicación, características, horarios, coordenadas de localización y servicios de los distintos puntos limpios fijos municipales de la ciudad de Madrid.
 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).

Assignment4/Adrian_Gomez_24C026/task06.py

@@ -0,0 +1,140 @@
+# -*- coding: utf-8 -*-
+"""Task06_2025.ipynb
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/1GKS6qAm9T4y76LWtB8ZP-ToTFBSDENE_
+
+**Task 06: Modifying RDF(s)**
+"""
+
+#!pip install rdflib
+import urllib.request
+url = 'https://raw.githubusercontent.com/FacultadInformatica-LinkedData/Curso2025-2026/refs/heads/master/Assignment4/course_materials/python/validation.py'
+urllib.request.urlretrieve(url, 'validation.py')
+github_storage = "https://raw.githubusercontent.com/FacultadInformatica-LinkedData/Curso2025-2026/master/Assignment4/course_materials"
+
+"""Import RDFLib main methods"""
+
+from rdflib import Graph, Namespace, Literal, XSD
+from rdflib.namespace import RDF, RDFS
+from validation import Report
+g = Graph()
+g.namespace_manager.bind('ns', Namespace("http://somewhere#"), override=False)
+r = Report()
+
+"""Create a new class named Researcher"""
+
+ns = Namespace("http://mydomain.org#")
+g.add((ns.Researcher, RDF.type, RDFS.Class))
+for s, p, o in g:
+  print(s,p,o)
+
+"""**Task 6.0: Create new prefixes for "ontology" and "person" as shown in slide 14 of the Slidedeck 01a.RDF(s)-SPARQL shown in class.**"""
+
+# this task is validated in the next step
+ontology = Namespace("http://oeg.fi.upm.es/def/ontology#")
+person = Namespace("http://oeg.fi.upm.es/def/people#")
+
+"""**TASK 6.1: Reproduce the taxonomy of classes shown in slide 34 in class (all the classes under "Vocabulario", Slidedeck: 01a.RDF(s)-SPARQL). Add labels for each of them as they are in the diagram (exactly) with no language tags. Remember adding the correct datatype (xsd:String) when appropriate**
+
+"""
+
+# TO DO
+g.add((person.Person, RDF.type, RDFS.Class))
+g.add((person.Person, RDFS.label, Literal("Person", datatype=XSD.string)))
+g.add((person.Professor, RDF.type, RDFS.Class))
+g.add((person.Professor, RDFS.label, Literal("Professor", datatype=XSD.string)))
+g.add((person.AssociateProfessor, RDF.type, RDFS.Class))
+g.add((person.AssociateProfessor, RDFS.label, Literal("AssociateProfessor", datatype=XSD.string)))
+g.add((person.InterimAssociateProfessor, RDF.type, RDFS.Class))
+g.add((person.InterimAssociateProfessor, RDFS.label, Literal("InterimAssociateProfessor", datatype=XSD.string)))
+g.add((person.FullProfessor, RDF.type, RDFS.Class))
+g.add((person.FullProfessor, RDFS.label, Literal("FullProfessor", datatype=XSD.string)))
+
+g.add((person.Professor, RDFS.subClassOf, person.Person))
+g.add((person.FullProfessor, RDFS.subClassOf, person.Professor))
+g.add((person.AssociateProfessor, RDFS.subClassOf, person.Professor))
+g.add((person.InterimAssociateProfessor, RDFS.subClassOf, person.AssociateProfessor))
+# Visualize the results
+for s, p, o in g:
+  print(s,p,o)
+
+# Validation. Do not remove
+r.validate_task_06_01(g)
+
+"""**TASK 6.2: Add the 3 properties shown in slide 36. Add labels for each of them (exactly as they are in the slide, with no language tags), and their corresponding domains and ranges using RDFS. Remember adding the correct datatype (xsd:String) when appropriate. If a property has no range, make it a literal (string)**"""
+
+# TO DO
+g.add((person.hasName, RDF.type, RDF.Property))
+g.add((person.hasName, RDFS.label, Literal("hasName", datatype=XSD.string)))
+g.add((person.hasName, RDFS.domain, person.Person))
+g.add((person.hasName, RDFS.range, RDFS.Literal))
+
+g.add((person.hasColleague, RDF.type, RDF.Property))
+g.add((person.hasColleague, RDFS.label, Literal("hasColleague", datatype=XSD.string)))
+g.add((person.hasColleague, RDFS.domain, person.Person))
+g.add((person.hasColleague, RDFS.range, person.Person))
+
+g.add((person.hasHomePage, RDF.type, RDF.Property))
+g.add((person.hasHomePage, RDFS.label, Literal("hasHomePage", datatype=XSD.string)))
+g.add((person.hasHomePage, RDFS.domain, person.FullProfessor))
+g.add((person.hasHomePage, RDFS.range, RDFS.Literal))
+# Visualize the results
+for s, p, o in g:
+  print(s,p,o)
+
+# Validation. Do not remove
+r.validate_task_06_02(g)
+
+"""**TASK 6.3: Create the individuals shown in slide 36 under "Datos". Link them with the same relationships shown in the diagram."**"""
+
+# TO DO
+data=Namespace("http://oeg.fi.upm.es/resource/person/")
+
+g.add((data.Raul, RDF.type, person.InterimAssociateProfessor))
+g.add((data.Raul, RDFS.label, Literal("Raul", datatype=XSD.string)))
+
+g.add((data.Asun, RDF.type, person.FullProfessor))
+g.add((data.Asun, RDFS.label, Literal("Asun", datatype=XSD.string)))
+g.add((data.Asun, person.hasHomePage, Literal("http://www.oeg-upm.net/")))
+g.add((data.Asun, person.hasColleague, data.Raul))
+
+g.add((data.Oscar, RDF.type, person.AssociateProfessor))
+g.add((data.Oscar, RDFS.label, Literal("Oscar", datatype=XSD.string)))
+g.add((data.Oscar, person.hasName, Literal("Óscar Corcho García")))
+g.add((data.Oscar, person.hasColleague, data.Asun))
+# Visualize the results
+for s, p, o in g:
+  print(s,p,o)
+
+r.validate_task_06_03(g)
+
+"""**TASK 6.4: Add to the individual person:Oscar the email address, given and family names. Use the properties already included in example 4 to describe Jane and John (https://raw.githubusercontent.com/FacultadInformatica-LinkedData/Curso2025-2026/master/Assignment4/course_materials/rdf/example4.rdf). Do not import the namespaces, add them manually**
+
+"""
+
+# TO DO
+vcard=Namespace("http://www.w3.org/2001/vcard-rdf/3.0/")
+foaf=Namespace("http://xmlns.com/foaf/0.1/")
+
+g.add((vcard.Family, RDF.type, RDF.Property))
+g.add((vcard.Family, RDFS.range, XSD.string))
+
+g.add((vcard.Given, RDF.type, RDF.Property))
+g.add((vcard.Given, RDFS.range, XSD.string))
+
+g.add((foaf.email, RDF.type, RDFS.Datatype))
+g.add((foaf.eamil, RDFS.range, XSD.string))
+
+g.add((data.Oscar, vcard.Family, Literal("Corcho García")))
+g.add((data.Oscar, vcard.Given, Literal("Oscar")))
+g.add((data.Oscar, foaf.email, Literal("ocorcho@fi.upm.es")))
+# Visualize the results
+for s, p, o in g:
+  print(s,p,o)
+
+# Validation. Do not remove
+r.validate_task_06_04(g)
+r.save_report("_Task_06")

Assignment4/Adrian_Gomez_24C026/task07.py

@@ -0,0 +1,121 @@
+# -*- coding: utf-8 -*-
+"""Task07_2025.ipynb
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/13zP7djRTBeG5tsTNq-mV-TGtIeDmqV7W
+
+**Task 07: Querying RDF(s)**
+"""
+
+#!pip install rdflib
+import urllib.request
+url = 'https://raw.githubusercontent.com/FacultadInformatica-LinkedData/Curso2025-2026/refs/heads/master/Assignment4/course_materials/python/validation.py'
+urllib.request.urlretrieve(url, 'validation.py')
+github_storage = "https://raw.githubusercontent.com/FacultadInformatica-LinkedData/Curso2025-2026/master/Assignment4/course_materials"
+
+from validation import Report
+
+"""First let's read the RDF file"""
+
+from rdflib import Graph, Namespace, Literal
+from rdflib.namespace import RDF, RDFS
+# Do not change the name of the variables
+g = Graph()
+g.namespace_manager.bind('ns', Namespace("http://somewhere#"), override=False)
+g.parse(github_storage+"/rdf/data06.ttl", format="TTL")
+report = Report()
+
+"""**TASK 7.1a: For all classes, list each classURI. If the class belogs to another class, then list its superclass.**
+**Do the exercise in RDFLib returning a list of Tuples: (class, superclass) called "result". If a class does not have a super class, then return None as the superclass**
+"""
+
+# Visualize the results
+result = [(c, g.value(subject=c, predicate=RDFS.subClassOf, object=None)) for c,p,o in g.triples((None, RDF.type, RDFS.Class))]
+for r in result:
+  print(r)
+
+## Validation: Do not remove
+report.validate_07_1a(result)
+
+"""**TASK 7.1b: Repeat the same exercise in SPARQL, returning the variables ?c (class) and ?sc (superclass)**"""
+
+query =  "SELECT ?c ?sc WHERE {?c rdf:type rdfs:Class. OPTIONAL {?c rdfs:subClassOf ?sc.}}"
+
+for r in g.query(query):
+  print(r.c, r.sc)
+
+## Validation: Do not remove
+report.validate_07_1b(query,g)
+
+"""**TASK 7.2a: List all individuals of "Person" with RDFLib (remember the subClasses). Return the individual URIs in a list called "individuals"**
+
+"""
+
+ns = Namespace("http://oeg.fi.upm.es/def/people#")
+
+# variable to return
+individuals = []
+
+def get_subclasses(clase):
+  subclasses=[]
+  for cl,p,o in g.triples((None, RDFS.subClassOf, clase)):
+    subclasses.append(cl)
+    subclasses += get_subclasses(cl)
+  return subclasses
+
+classes=get_subclasses(ns.Person)
+classes.append(ns.Person)
+for cl in classes:
+  individuals += [per for per,p,o in g.triples((None, RDF.type, cl))]
+
+# visualize results
+for i in individuals:
+  print(i)
+
+# validation. Do not remove
+report.validate_07_02a(individuals)
+
+"""**TASK 7.2b: Repeat the same exercise in SPARQL, returning the individual URIs in a variable ?ind**"""
+
+query =  "SELECT ?ind WHERE{?c rdfs:subClassOf* <http://oeg.fi.upm.es/def/people#Person>. ?ind a ?c}"
+
+for r in g.query(query):
+  print(r.ind)
+# Visualize the results
+
+## Validation: Do not remove
+report.validate_07_02b(g, query)
+
+"""**TASK 7.3:  List the name and type of those who know Rocky (in SPARQL only). Use name and type as variables in the query**"""
+
+query =  """SELECT ?name ?type WHERE{
+    ?name <http://oeg.fi.upm.es/def/people#knows> <http://oeg.fi.upm.es/def/people#Rocky>.
+    ?name a ?type
+  }"""
+# Visualize the results
+for r in g.query(query):
+  print(r.name, r.type)
+
+## Validation: Do not remove
+report.validate_07_03(g, query)
+
+"""**Task 7.4: List the name of those entities who have a colleague with a dog, or that have a collegue who has a colleague who has a dog (in SPARQL). Return the results in a variable called name**"""
+
+query =  """SELECT ?name WHERE {
+  ?p <http://oeg.fi.upm.es/def/people#ownsPet> ?m.
+  {?name <http://oeg.fi.upm.es/def/people#hasColleague> ?p}
+  UNION
+  {?p2 <http://oeg.fi.upm.es/def/people#hasColleague> ?p. ?name <http://oeg.fi.upm.es/def/people#hasColleague> ?p2.}
+}
+"""
+
+# Visualize the results
+for r in g.query(query):
+  print(r.name)
+
+
+## Validation: Do not remove
+report.validate_07_04(g,query)
+report.save_report("_Task_07")

Assignment4/Adrian_Gomez_24C026/task08.py

@@ -0,0 +1,37 @@
+# -*- coding: utf-8 -*-
+"""Task08.ipynb
+
+Automatically generated by Colab.
+**Task 08: Completing missing data**
+"""
+
+#!pip install rdflib
+github_storage = "https://raw.githubusercontent.com/FacultadInformatica-LinkedData/Curso2021-2022/master/Assignment4/course_materials"
+
+from rdflib import Graph, Namespace, Literal, URIRef
+g1 = Graph()
+g2 = Graph()
+g1.parse(github_storage+"/rdf/data01.rdf", format="xml")
+g2.parse(github_storage+"/rdf/data02.rdf", format="xml")
+
+"""Tarea: lista todos los elementos de la clase Person en el primer grafo (data01.rdf) y completa los campos (given name, family name y email) que puedan faltar con los datos del segundo grafo (data02.rdf). Puedes usar consultas SPARQL o iterar el grafo, o ambas cosas."""
+
+query='''SELECT ?p ?g ?f ?e WHERE {
+    ?p a <http://data.org#Person>.
+    OPTIONAL {?p vcard-rdf:Given ?g.}.
+    OPTIONAL {?p vcard-rdf:Family ?f.}.
+    OPTIONAL {?p vcard-rdf:EMAIL ?e.}.
+
+}'''
+
+r1=g1.query(query)
+r2=g2.query(query)
+vcard_rdf=Namespace("http://www.w3.org/2001/vcard-rdf/3.0#")
+
+for row in r1:
+  if row.g is None:
+    g1.add((row.p, vcard_rdf.Given, g2.value(subject=row.p, predicate=vcard_rdf.Given, object=None)))
+  if row.f is None:
+    g1.add((row.p, vcard_rdf.Family, g2.value(subject=row.p, predicate=vcard_rdf.Family, object=None)))
+  if row.e is None:
+    g1.add((row.p, vcard_rdf.EMAIL, g2.value(subject=row.p, predicate=vcard_rdf.EMAIL, object=None)))

Assignment4/Adrian_Gomez_24C026/task09.py

@@ -0,0 +1,30 @@
+# -*- coding: utf-8 -*-
+"""Task09.ipynb
+Automatically generated by Colab.
+**Task 09: Data linking**
+"""
+
+#!pip install rdflib
+github_storage = "https://raw.githubusercontent.com/FacultadInformatica-LinkedData/Curso2021-2022/master/Assignment4/course_materials/"
+
+from rdflib import Graph, Namespace, Literal, URIRef
+g1 = Graph()
+g2 = Graph()
+g3 = Graph()
+g1.parse(github_storage+"rdf/data03.rdf", format="xml")
+g2.parse(github_storage+"rdf/data04.rdf", format="xml")
+
+"""Busca individuos en los dos grafos y enlázalos mediante la propiedad OWL:sameAs, inserta estas coincidencias en g3. Consideramos dos individuos iguales si tienen el mismo apodo y nombre de familia. Ten en cuenta que las URI no tienen por qué ser iguales para un mismo individuo en los dos grafos."""
+
+query='''SELECT ?p ?g ?f WHERE {
+    ?p a <http://data.three.org#Person>.
+    ?p vcard-rdf:Given ?g.
+    ?p vcard-rdf:Family ?f.
+}'''
+
+vcard_rdf=Namespace("http://www.w3.org/2001/vcard-rdf/3.0#")
+r1=g1.query(query)
+for row in r1:
+  sameName = g2.value(subject=None, predicate=vcard_rdf.Given, object=row.g)
+  if sameName is not None and g2.value(subject=sameName, predicate=vcard_rdf.Family, object=None) == row.f:
+    g3.add((row.p, URIRef("http://www.w3.org/2002/07/owl#sameAs"), sameName))