#4253 CSV (ID, Attribute, Value) -> RDF Triples
#4253 CSV (ID, Attribute, Value) -> RDF Triples #4253 Provide a Python application to read a CSV file with ID, Attribute, Value and create RDF triples, then display the RDF data To build this application, we’ll use the rdflib library, which is the industry standard for handling RDF in Python. We will map your CSV columns to a basic RDF structure where the ID acts as the subject, the Attribute as the predicate, and the Value as the object. 1. Prerequisites You’ll need to install rdflib if you haven't already: pip install rdflib 2. The Python Application This script handles the CSV parsing, creates a namespace for your data, and serializes the output into the human-readable Turtle format. import csv from rdflib import Graph, Literal, RDF, URIRef, Namespace def csv_to_rdf ( file_path ): # 1. Initialize the Graph and a custom Namespace g = Graph() EX = Namespace( "http://example.org/data/" ) try : with open (file_path, mode= ...