Lab: RDF programming with RDFlib
Lab 2: RDF programming with RDFlib
- Basic RDF graph programming with RDFlib.
- Simple reading/writing from/to file.
- Simple looping trough graph
- Setting up groups for the group project
from rdflib import Graph, Namespace, URIRef, BNode, Literal
from rdflib.namespace import RDF, FOAF, XSD
from rdflib.collection import Collection
methods: Graph - add(), remove(), triples(), serialize(), parse(), bind()
Consider the following situation: "Cade lives in 1516 Henry Street, Berkeley, California 94709, USA. He has a B.Sc. in biology from the University of California, Berkeley from 2011. His interests include birds, ecology, the environment, photography and travelling. He has visited Canada and France. Emma Dominguez lives in Carrer de la Guardia Civil 20, 46020 Valencia, Spain. She has a M.Sc. in chemistry from the University of Valencia from 2015. Her areas of expertise include waste management, toxic waste, air pollution. Her interests include bike riding, music and travelling. She has visited Portugal, Italy, France, Germany, Denmark and Sweden. Cade knows Emma. They met in Paris in August 2014."
Create a graph in RDFlib with triples corresponding to the text above. You can continue with what you made in Lab 1, or start a graph if you want. (Use your own URIs when you need to (like "http://example.org/"), If you can, also try to use terms you know from vocabularies such as FOAF, RDF or XSD.
Write out your graph to the console. I have found that this is seems to be the cleanest way of printing the graph: print(g.serialize(format="turtle").decode()) Try all the following formats: "turtle", "n3", "nt", "xml". How do they differ? What is the default?
Write your graph to a file. To do this, you can simply use the location parameter e.g: g.serialize(destination="triples.txt", format="turtle").
Look at the file and edit it so that Cade has also visited Germany and so that Emma is 26 years old.
Create a new program that reads your graph in again from the file and writes it to the console. e.g g.parse(location="triples.txt", format="turtle") Check that your new data is there!
Continuing with either your first or second program, write a loop that goes through all the triples in the graph and prints them to the console.
Change the loop so that (a) it only loops through triples about Emma (b) it only loops through triples involving the names of people.
Remove all triples about Mary using graph.remove(). (triples of Mary are from lab 1)
If you have more time...
Below are four lines of comma-separated values (csv - five lines with the headers) that could have been saved from a spreadsheet. Copy them into a file and write a program with a loop that reads each line from that file (except the initial header line) and adds it to your graph as triples:
"Name","Gender","Country","Town","Expertise","Interests" "Regina Catherine Hall","F","Great Britain","Manchester","Ecology, zoology","Football, music travelling" "Achille Blaise","M","France","Nancy","","Chess, computer games" "Nyarai Awotwi Ihejirika","F","Kenya","Nairobi","Computers, semantic networks","Hiking, botany" "Xun He Zhang","M","China","Chengdu","Internet, mathematics, logistics","Dancing, music, trombone"
In the resulting graph, delete all information about Achille.