Update Assignment 1 DatasetDescriptions.csv

Assignment1/DatasetDescriptions.csv

@@ -1,4 +1,5 @@
 Your name; Your GitHub user; Dataset name; Dataset URL; Dataset brief description
+Alfredo Antonio Aleix Ayuga; maincato; Area of parks and green areas of Madrid; https://data.europa.eu/data/datasets/https-datos-madrid-es-egob-catalogo-300266-0-arbolado-superficie?locale=en; Este dataset contiene información sobre parques y zonas verdes en Madrid.
 Mohamed Khachani; mohamed-khachani; Mobiliario urbano. Papeleras; https://datos.madrid.es/portal/site/egob/menuitem.c05c1f754a33a9fbe4b2e4b284f1a5a0/?vgnextoid=9c8d5949a2a8a510VgnVCM2000001f4a900aRCRD&vgnextchannel=374512b9ace9f310VgnVCM100000171f5a0aRCRD&vgnextfmt=default; Este dataset recoge más de 92.000 papeleras de Madrid con su ubicación y modelo (según elementos urbanos normalizados), excluyendo las situadas en parques históricos y forestales.
 Channa Pan; ChannaPan; Variedades de rosas en la Rosaleda del Parque del Oeste; https://datos.gob.es/es/catalogo/l01280796-variedades-de-rosas-en-la-rosaleda-del-parque-del-oeste; Las variedades de rosas de la Rosaleda del Parque del Oeste que se relacionan pertenecen a tres colecciones: variedades antiguas, variedades modernas y especies silvestres de la Península Ibérica. 
 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.

Assignment4/maincato_089065/task06.py

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+# -*- coding: utf-8 -*-
+"""Task06.ipynb
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/12UnKd89GDXjQSh86kg_KiWhITpKxHKK9
+
+**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("https://www.oeg-upm.net/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.Professor, RDF.type, RDFS.Class))
+g.add((person.AssociateProfessor, RDF.type, RDFS.Class))
+g.add((person.FullProfessor, RDF.type, RDFS.Class))
+g.add((person.InterimAssociateProfessor, RDF.type, RDFS.Class))
+g.add((person.Person, RDFS.label, Literal("Person", datatype=XSD.string)))
+g.add((person.Professor, RDFS.label, Literal("Professor", datatype=XSD.string)))
+g.add((person.AssociateProfessor, RDFS.label, Literal("AssociateProfessor", datatype=XSD.string)))
+g.add((person.FullProfessor, RDFS.label, Literal("FullProfessor", datatype=XSD.string)))
+g.add((person.InterimAssociateProfessor, RDFS.label, Literal("InterimAssociateProfessor", datatype=XSD.string)))
+g.add((person.Professor, RDFS.subClassOf, person.Person))
+g.add((person.AssociateProfessor, RDFS.subClassOf, person.Professor))
+g.add((person.FullProfessor, 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.hasColleague, RDF.type, RDF.Property))
+g.add((person.hasColleague, RDFS.domain, ontology.Person))
+g.add((person.hasColleague, RDFS.range, ontology.University))
+g.add((person.hasColleague, RDFS.label, Literal("hasColleague", datatype=XSD.string)))
+g.add((person.hasHomePage, RDF.type, RDF.Property))
+g.add((person.hasHomePage, RDFS.domain, ontology.Researcher))
+g.add((person.hasHomePage, RDFS.range, ontology.University))
+g.add((person.hasHomePage, RDFS.label, Literal("hasHomePage", datatype=XSD.string)))
+g.add((person.hasName, RDF.type, RDF.Property))
+g.add((person.hasName, RDFS.domain, ontology.Person))
+g.add((person.hasName, RDFS.range, ontology.University))
+g.add((person.hasName, RDFS.label, Literal("hasName", datatype=XSD.string)))
+# 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.Asun, RDF.type, person.FullProfessor))
+g.add((data.Oscar, RDF.type, person.AssociateProfessor))
+g.add((data.Raul, RDF.type, person.InterimAssociateProfessor))
+g.add((data.Raul, RDFS.label, Literal("Raul", datatype=XSD.string)))
+g.add((data.Asun, person.hasColleague, data.Raul))
+g.add((data.Oscar, person.hasColleague, data.Asun))
+g.add((data.Asun, RDFS.label, Literal("Asun", datatype=XSD.string)))
+g.add((data.Oscar, person.hasName, Literal("Óscar Corcho García")))
+g.add((data.Oscar, RDFS.label, Literal("Oscar", datatype=XSD.string)))
+g.add((data.Asun, person.hasHomePage, Literal("http://www.oeg-upm.net/")))
+# 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, RDF.Property))
+g.add((foaf.email, RDFS.range, XSD.string))
+
+g.add((person.Oscar, vcard.Family, Literal("Corcho García", datatype=XSD.string)))
+g.add((person.Oscar, vcard.Given, Literal("Oscar", datatype=XSD.string)))
+g.add((person.Oscar, foaf.email, Literal("oscar.ocorcho@fi.upm.es", datatype=XSD.string)))
+# 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/maincato_089065/task07.py

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+# -*- coding: utf-8 -*-
+"""Task07.ipynb
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/1SOjhmnIPj8P7ZtU5eNmqrjcFwcbyG-Lb
+
+**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**
+"""
+
+# TO DO
+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)**"""
+
+query1 =  "SELECT ?c ?sc WHERE {?c rdf:type rdfs:Class. OPTIONAL {?c rdfs:subClassOf ?sc.}}"
+
+for r in g.query(query1):
+  print(r.c, r.sc)
+
+## Validation: Do not remove
+report.validate_07_1b(query1,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(cls):
+    subclasses = set(g.subjects(RDFS.subClassOf, cls))
+    all_subs = set(subclasses)
+    for s in subclasses:
+        all_subs = all_subs.union(get_subclasses(s))
+    return all_subs
+
+classes = {ns.Person} | get_subclasses(ns.Person)
+
+for c in classes:
+    for ind in g.subjects(RDF.type, c):
+        individuals.append(ind)
+
+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**"""
+
+query2 =  """
+SELECT DISTINCT ?ind
+WHERE {
+  ?clase rdfs:subClassOf* <http://oeg.fi.upm.es/def/people#Person> .
+  ?ind a ?clase .
+}
+"""
+
+for r in g.query(query2):
+  print(r.ind)
+# Visualize the results
+
+## Validation: Do not remove
+report.validate_07_02b(g, query2)
+
+"""**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**"""
+
+query3 = """SELECT ?name ?type WHERE{
+    ?name <http://oeg.fi.upm.es/def/people#knows> <http://oeg.fi.upm.es/def/people#Rocky>.
+    ?name a ?type .
+  }"""
+# TO DO
+for r in g.query(query3):
+  print(r.name, r.type)
+
+## Validation: Do not remove
+report.validate_07_03(g, query3)
+
+"""**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**"""
+
+query4 =  """
+SELECT ?name
+WHERE {
+  ?p <http://oeg.fi.upm.es/def/people#ownsPet> ?m.
+  {?p <http://oeg.fi.upm.es/def/people#ownsPet> ?pet .
+  ?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.}
+}
+"""
+
+for r in g.query(query4):
+  print(r.name)
+
+# TO DO
+# Visualize the results
+
+## Validation: Do not remove
+report.validate_07_04(g,query4)
+report.save_report("_Task_07")