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Merge pull request #2 from Angel-Astiazaran/Trabajo-Grupo
Trabajo grupo
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‎Assignment2/Angel-Astiazaran-fromJSONtoJSON-LD.jsonld

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{
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"@context" : {
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"xsd" : "http://www.w3.org/2001/XMLSchema#",
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"vocab" : "http://example.org/specialVocab/Assignment2b",
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"fullname":"s:fullname",
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"hometown" : "vocab:hometown",
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"age" : "vocab:age",
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"almaMater" : "vocab:almaMater",
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"mothesrName" : "vocab:mothesrName",
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"fathesrName" : "vocab:fathesrName",
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"subject" : "http://example.org/subject",
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"teachers" : "http://example.org/teachers",
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"description" : "rdfs:comment"
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},
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"@id" : "http://example.org/specialVocab/Assignment2b/Angel-Astiazaran",
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"@type" : "vocab:student",
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"fullname" : "Angel Astiazaran Gafo",
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"hometown" : "Las Rozas",
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"age" : "22",
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"almaMater" : "Universidad Politecnica de Madrid",
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"mothersName" : "Virginia",
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"fathersName" : "Gonzalo",
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"subject" : [
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{
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"name" : "Linked Data",
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"teachers" : [
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{
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"name" : "Oscar Corcho"
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},
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{
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"name" : "Raul García Castro"
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}
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],
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"description" : "Data relationship with web and other types of web data"
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},
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{
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"name" : "Pattern Recognition",
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"teachers" : [
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{
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"name" : "Luis Bamuela"
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},
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{
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"name" : "Roberto Valle"
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}
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],
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"description" : "Design of algorithms that look for patterns or regularities in data"
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}
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]
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}

‎Assignment2/Angel-Astiazaran-fromRDFtoJSON-LD.jsonld

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{
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"@context": {
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"base": "http://example.org/",
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"xsd": "http://www.w3.org/2001/XMLSchema#"
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},
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"@graph": [
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{
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"@id": "base:Class01",
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"base:includes": [
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{
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"@id": "base:Sensor029",
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"base:hasMeasurement": {
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"@id": "base:Measurement8401",
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"base:hasTemperature": {
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"@type": "xsd:int",
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"@value": 29
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},
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"base:atTime": {
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"@value": "2010-06-12T12:00:12",
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"@type": "xsd:dateTime"
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}
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}
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},
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{
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"@id": "base:Computer101",
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"base:hasOwner": {
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"@id": "base:User10A",
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"base:hasName": {
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"@value": "Pedro",
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"@type": "xsd:string"
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}
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}
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}
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]
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}
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]
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}
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‎Assignment4/Angel-Astiazaran-c200057/Task06.py

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# %% [markdown]
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# **Task 06: Modifying RDF(s)**
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# %%
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!pip install rdflib
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github_storage = "https://raw.githubusercontent.com/FacultadInformatica-LinkedData/Curso2024-2025/master/Assignment4/course_materials"
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# %% [markdown]
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# Read the RDF file as shown in class
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# %%
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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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g.namespace_manager.bind('vcard', Namespace("http://www.w3.org/2001/vcard-rdf/3.0#"), override=False)
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g.parse(github_storage+"/rdf/example5.rdf", format="xml")
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# %% [markdown]
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# Create a new class named Researcher
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# %%
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ns = Namespace("http://somewhere#")
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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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# %% [markdown]
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# **TASK 6.1: Create a new class named "University"**
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#
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# %%
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# TO DO:
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g.add((ns.University, RDF.type, RDFS.Class))
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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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# %% [markdown]
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# **TASK 6.2: Add "Researcher" as a subclass of "Person"**
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# %%
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# TO DO
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g.add((ns.Researcher, RDFS.subClassOf, ns.Person))
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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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# %% [markdown]
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# **TASK 6.3: Create a new individual of Researcher named "Jane Smithers"**
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# %%
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# TO DO
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g.add((ns.JaneSmith, RDF.type, ns.Researcher))
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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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# %% [markdown]
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# **TASK 6.4: Add to the individual JaneSmithers the email address, fullName, given and family names. Use the https://schema.org vocabulary**
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# %%
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# TO DO
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schema = Namespace("https://schema.org/")
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g.add((ns.JaneSmith, schema.email, Literal("jane.smith@example.com")))
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g.add((ns.JaneSmith, schema.name, Literal("Jane Smithers")))
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g.add((ns.JaneSmith, schema.givenName, Literal("Jane")))
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g.add((ns.JaneSmith, schema.familyName, Literal("Smithers")))
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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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# %% [markdown]
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# **TASK 6.5: Add UPM as the university where John Smith works. Use the "https://example.org/ namespace**
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# %%
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# TO DO
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g.add((ns.UPM, RDF.type, ns.University))
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g.add((ns.JohnSmith, schema.employer, ns.UPM))
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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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# %% [markdown]
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# **Task 6.6: Add that Jown knows Jane using the FOAF vocabulary. Make sure the relationship exists.**
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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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g.add((ns.JohnSmith, foaf.knows, ns.JaneSmith))
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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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‎Assignment4/Angel-Astiazaran-c200057/Task07.py

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# %% [markdown]
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# **Task 07: Querying RDF(s)**
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# %%
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!pip install rdflib
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github_storage = "https://raw.githubusercontent.com/FacultadInformatica-LinkedData/Curso2024-2025/master/Assignment4/course_materials"
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# %% [markdown]
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# First let's read the RDF file
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# %%
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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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g.namespace_manager.bind('vcard', Namespace("http://www.w3.org/2001/vcard-rdf/3.0#"), override=False)
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g.parse(github_storage+"/rdf/example6.rdf", format="xml")
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# Add the namespace and import the usage of SPARQL
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ns = Namespace("http://somewhere#")
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from rdflib.plugins.sparql import prepareQuery
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# %% [markdown]
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# **TASK 7.1: List all subclasses of "LivingThing" with RDFLib and SPARQL**
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# %%
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# TO DO
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# Visualize the results
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for s, p, o in g.triples((None, RDFS.subClassOf, ns.LivingThing)): # Cambiar ns.Person a ns.LivingThing
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print(s)
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print("\n")
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#for r in g.query(q1):
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# print(r)
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query = prepareQuery("""SELECT ?s WHERE { ?s rdfs:subClassOf ns:LivingThing }""", initNs={"rdfs": RDFS, "ns": ns})
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for data in g.query(query):
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print(data)
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# %% [markdown]
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# **TASK 7.2: List all individuals of "Person" with RDFLib and SPARQL (remember the subClasses)**
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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 s, p, o in g.triples((None, RDF.type, ns.Person)):
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print(s)
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for s, p, o in g.triples((None, RDFS.subClassOf, ns.Person)):
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for s2, p2, o2 in g.triples((None, RDF.type, s)):
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print(s2)
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print("\n")
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q2 = prepareQuery("""select ?s where { {?s rdf:type ns:Person} union {?s2 rdfs:subClassOf ns:Person. ?s rdf:type ?s2} }""", initNs={"rdfs": RDFS, "ns": ns, "rdf": RDF})
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for data in g.query(q2):
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print(data)
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# %% [markdown]
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# **TASK 7.3: List all individuals of just "Person" or "Animal". You do not need to list the individuals of the subclasses of person (in SPARQL only)**
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#
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# %%
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from rdflib.plugins.sparql import prepareQuery
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# Define the query
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q3 = prepareQuery("""
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SELECT ?s WHERE {
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{ ?s rdf:type ns:Person }
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UNION
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{ ?s rdf:type ns:Animal }
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}
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""", initNs={"rdf": RDF, "ns": ns})
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# Execute the query and visualize the results
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for data in g.query(q3):
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print(data)
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# %% [markdown]
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# **TASK 7.4: List the name of the persons who know Rocky (in SPARQL only)**
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# %%
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# Define the query
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q4 = prepareQuery("""
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SELECT ?name WHERE {
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?person rdf:type ns:Person .
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?person ns:knows ns:Rocky .
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?person vcard:FN ?name .
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}
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""", initNs={"rdf": RDF, "ns": ns, "vcard": Namespace("http://www.w3.org/2001/vcard-rdf/3.0#")})
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# Execute the query and visualize the results
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for data in g.query(q4):
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print(data)
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# %% [markdown]
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# **Task 7.5: List the name of those animals who know at least another animal in the graph (in SPARQL only)**
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# %%
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# Define the query
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q5 = prepareQuery("""
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SELECT ?name WHERE {
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?animal rdf:type ns:Animal .
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?animal ns:knows ?otherAnimal .
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?otherAnimal rdf:type ns:Animal .
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?animal vcard:FN ?name .
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}
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""", initNs={"rdf": RDF, "ns": ns, "vcard": Namespace("http://www.w3.org/2001/vcard-rdf/3.0#")})
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# Execute the query and visualize the results
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for data in g.query(q5):
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print(data)
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# %% [markdown]
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# **Task 7.6: List the age of all living things in descending order (in SPARQL only)**
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# %%
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# Define the query
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q6 = prepareQuery("""
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SELECT ?livingThing ?age WHERE {
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?livingThing rdf:type ns:LivingThing .
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?livingThing ns:age ?age .
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}
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ORDER BY DESC(?age)
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""", initNs={"rdf": RDF, "ns": ns})
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# Execute the query and visualize the results
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for data in g.query(q6):
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print(data)
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‎Assignment4/Angel-Astiazaran-c200057/Task08.py

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# %% [markdown]
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# **Task 08: Completing missing data**
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# %%
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!pip install rdflib
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github_storage = "https://raw.githubusercontent.com/FacultadInformatica-LinkedData/Curso2024-2025/master/Assignment4/course_materials"
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# %%
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from rdflib import Graph, Namespace, Literal, URIRef
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g1 = Graph()
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g2 = Graph()
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g1.parse(github_storage+"/rdf/data01.rdf", format="xml")
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g2.parse(github_storage+"/rdf/data02.rdf", format="xml")
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# %% [markdown]
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# 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.
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# %% [markdown]
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# **Importamos las librerias**
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# %%
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from rdflib.namespace import RDF
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from rdflib.plugins.sparql import prepareQuery
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ns = Namespace("http://data.org#")
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vcard = Namespace("http://www.w3.org/2001/vcard-rdf/3.0#")
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# %% [markdown]
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# *Listamos todos los elementos de la clase Person*
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# %%
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for s, p, o in g1.triples((None, RDF.type, ns.Person)):
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print(s)
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# %% [markdown]
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# *Seleccionamos solo los campos de name, family name y emaul, para añadirlos al primero. Usare SPARQL.*
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# %%
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q = prepareQuery("""select ?s ?p ?o where { ?s ?p ?o. filter(?p=vcard:FN || ?p=vcard:Given || ?p=vcard:EMAIL) }""", initNs={"vcard": vcard})
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for newData in g2.query(q):
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g1.add(newData)
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# %% [markdown]
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# *Finalmente visualizamos el resultado*
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# %%
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for s, p, o in g1:
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print(s, p, o)
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