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Merge pull request #44 from yichenchen2006/master
Assignment 4
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‎Assignment4/Assignment4_Yi_Chen_24C042/task06.py‎

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# -*- coding: utf-8 -*-
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"""Task06.ipynb
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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/1cyYMoODZhtYYjDLcmhfcUiyN3nNXGFXr
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**Task 06: Modifying RDF(s)**
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"""
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#!pip install rdflib
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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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github_storage = "https://raw.githubusercontent.com/FacultadInformatica-LinkedData/Curso2025-2026/master/Assignment4/course_materials"
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"""Import RDFLib main methods"""
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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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g.namespace_manager.bind('ns', Namespace("http://somewhere#"), override=False)
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r = Report()
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"""Create a new class named Researcher"""
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ns = Namespace("http://mydomain.org#")
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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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"""**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.**"""
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# this task is validated in the next step
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ontology = Namespace("http://oeg.fi.upm.es/def/ontology#")
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person = Namespace("http://oeg.fi.upm.es/def/people#")
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"""**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**
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"""
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# TO DO
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g.add((person.Person, RDF.type, RDFS.Class))
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g.add((person.Person, RDFS.label, Literal("Person", datatype=XSD.string)))
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g.add((person.Professor, RDF.type, RDFS.Class))
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g.add((person.Professor, RDFS.subClassOf, person.Person))
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g.add((person.Professor, RDFS.label, Literal("Professor", datatype=XSD.string)))
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g.add((person.FullProfessor, RDF.type, RDFS.Class))
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g.add((person.FullProfessor, RDFS.subClassOf, person.Professor))
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g.add((person.FullProfessor, RDFS.label, Literal("FullProfessor", datatype=XSD.string)))
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g.add((person.AssociateProfessor, RDF.type, RDFS.Class))
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g.add((person.AssociateProfessor, RDFS.subClassOf, person.Professor))
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g.add((person.AssociateProfessor, RDFS.label, Literal("AssociateProfessor", datatype=XSD.string)))
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g.add((person.InterimAssociateProfessor, RDF.type, RDFS.Class))
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g.add((person.InterimAssociateProfessor, RDFS.subClassOf, person.AssociateProfessor))
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g.add((person.InterimAssociateProfessor, RDFS.label, Literal("InterimAssociateProfessor", datatype=XSD.string)))
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# Visualize the results
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for s, p, o in g:
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print(s,p,o)
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# Validation. Do not remove
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r.validate_task_06_01(g)
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"""**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)**"""
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# TO DO
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g.add((person.hasName, RDF.type, RDF.Property))
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g.add((person.hasName, RDFS.domain, person.Person))
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g.add((person.hasName, RDFS.range, RDFS.Literal))
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g.add((person.hasName, RDFS.label, Literal("hasName", datatype=XSD.string)))
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g.add((person.hasColleague, RDF.type, RDF.Property))
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g.add((person.hasColleague, RDFS.domain, person.Person))
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g.add((person.hasColleague, RDFS.range, person.Person))
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g.add((person.hasColleague, RDFS.label, Literal("hasColleague", datatype=XSD.string)))
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g.add((person.hasHomePage, RDF.type, RDF.Property))
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g.add((person.hasHomePage, RDFS.domain, person.FullProfessor))
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g.add((person.hasHomePage, RDFS.range, RDFS.Literal))
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g.add((person.hasHomePage, RDFS.label, Literal("hasHomePage", datatype=XSD.string)))
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# Visualize the results
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for s, p, o in g:
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print(s,p,o)
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# Validation. Do not remove
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r.validate_task_06_02(g)
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"""**TASK 6.3: Create the individuals shown in slide 36 under "Datos". Link them with the same relationships shown in the diagram."**"""
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# TO DO
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data = Namespace("http://oeg.fi.upm.es/resource/person/")
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g.add((data.Oscar, RDF.type, data.AssociateProfessor))
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g.add((data.Oscar, data.hasColleague, data.Asun))
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g.add((data.Oscar, data.hasName, Literal("Oscar Corcho García", datatype=XSD.string)))
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g.add((data.Oscar, RDFS.label, Literal("Oscar", datatype=XSD.string)))
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g.add((data.Asun, RDF.type, data.FullProfessor))
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g.add((data.Asun, data.hasColleague, data.Raul))
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g.add((data.Asun, data.hasHomePage, Literal("http://www.oeg-upm.net/", 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, RDF.type, data.InterimAssociateProfessor))
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g.add((data.Raul, RDFS.label, Literal("Raul", datatype=XSD.string)))
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# Visualize the results
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for s, p, o in g:
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print(s,p,o)
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r.validate_task_06_03(g)
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"""**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**
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"""
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# TO DO
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foaf = Namespace("http://xmlns.com/foaf/0.1/")
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vcard = Namespace("http://www.w3.org/2001/vcard-rdf/3.0/")
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g.add((data.Oscar, foaf.email, Literal("oCorchoGarcia@somewhere.com", datatype=XSD.string)))
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g.add((data.Oscar, vcard.Given, Literal("Óscar", datatype=XSD.string)))
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g.add((data.Oscar, vcard.Family, Literal("Corcho García", datatype=XSD.string)))
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# Visualize the results
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for s, p, o in g:
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print(s,p,o)
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# Validation. Do not remove
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r.validate_task_06_04(g)
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r.save_report("_Task_06")

‎Assignment4/Assignment4_Yi_Chen_24C042/task07.py‎

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# -*- coding: utf-8 -*-
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"""Task07.ipynb
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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/1EFw5VunhA1v5h15_jENqCAmlhadYAtlu
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**Task 07: Querying RDF(s)**
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"""
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#!pip install rdflib
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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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github_storage = "https://raw.githubusercontent.com/FacultadInformatica-LinkedData/Curso2025-2026/master/Assignment4/course_materials"
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from validation import Report
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"""First let's read the RDF file"""
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from rdflib import Graph, Namespace, Literal
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from rdflib.namespace import RDF, RDFS
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# Do not change the name of the variables
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g = Graph()
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g.namespace_manager.bind('ns', Namespace("http://somewhere#"), override=False)
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g.parse(github_storage+"/rdf/data06.ttl", format="TTL")
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report = Report()
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"""**TASK 7.1a: For all classes, list each classURI. If the class belogs to another class, then list its superclass.**
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**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**
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"""
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# TO DO
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# Visualize the results
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result = [] #list of tuples
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for s, p, o in g.triples((None, RDF.type, RDFS.Class)):
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superclass = None
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for s2, p2, o2 in g.triples((s, RDFS.subClassOf, None)):
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superclass = o2
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result.append((s, superclass))
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for r in result:
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print(r)
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## Validation: Do not remove
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report.validate_07_1a(result)
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"""**TASK 7.1b: Repeat the same exercise in SPARQL, returning the variables ?c (class) and ?sc (superclass)**"""
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query = """
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Select ?c ?sc WHERE {
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?c rdf:type 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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## Validation: Do not remove
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report.validate_07_1b(query,g)
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"""**TASK 7.2a: List all individuals of "Person" with RDFLib (remember the subClasses). Return the individual URIs in a list called "individuals"**
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"""
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ns = Namespace("http://oeg.fi.upm.es/def/people#")
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# variable to return
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individuals = []
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all_classes = [ns.Person]
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for clase in all_classes:
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for s, p, o in g.triples((None, RDFS.subClassOf, clase)):
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if s not in all_classes:
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all_classes.append(s)
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for clase in all_classes:
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for s2, p2, o2 in g.triples((None, RDF.type, clase)):
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individuals.append(s2)
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# visualize results
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for i in individuals:
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print(i)
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# validation. Do not remove
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report.validate_07_02a(individuals)
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"""**TASK 7.2b: Repeat the same exercise in SPARQL, returning the individual URIs in a variable ?ind**"""
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query = """
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prefix ns: <http://oeg.fi.upm.es/def/people#>
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prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#>
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Select ?ind WHERE{
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?ind rdf:type ?class.
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?class rdfs:subClassOf* ns: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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# Visualize the results
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## Validation: Do not remove
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report.validate_07_02b(g, query)
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"""**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**"""
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query = """
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prefix ns: <http://oeg.fi.upm.es/def/people#>
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prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#>
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select ?name ?type WHERE{
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?name ns:knows ns:Rocky.
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?name rdf:type ?type.
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}
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"""
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# TO DO
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# Visualize the results
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for r in g.query(query):
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print(r.name, r.type)
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## Validation: Do not remove
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report.validate_07_03(g, query)
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"""**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**"""
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query = """
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prefix ns: <http://oeg.fi.upm.es/def/people#>
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prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#>
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select ?name WHERE{
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{
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?name ns:hasColleague ?colleague.
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?colleague ns:ownsPet ?dog.
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}
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UNION
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{
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?name ns:hasColleague ?colleague1.
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?colleague1 ns:hasColleague ?colleague2.
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?colleague2 ns:ownsPet ?dog.
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}
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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)
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# TO DO
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# Visualize the results
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## Validation: Do not remove
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report.validate_07_04(g,query)
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report.save_report("_Task_07")

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