CSV-2-RDF-Converter

This Python script converts data stored in a CSV (Comma-Separated Values) file into RDF (Resource Description Framework) triples serialized in the .nt format. It's a handy tool for transforming tabular data into a format suitable for use in semantic web applications, linked data, and knowledge graphs.

Features

• Converts CSV files into RDF triples in the .nt serialization format.
• Supports both URI and literal values as objects.
• Adds language tags for English to string literals (lang tag can be modified for other languages).

How to Use

1. Input CSV File: Provide the path to your CSV file.
2. Run the Script: Execute the script csv2rdfConverter.py using Python 3.x. Make sure to have Python installed on your system.
3. Output: The script will generate an output file in the .nt format containing RDF triples. The output file will be named output.nt by default, but you can specify a different output file name if desired.

Requirements

• Python 3.x
• csv module (comes pre-installed with Python)

Example

Consider a CSV file named data.csv containing the following data:

subject,predicate,object
http://example.org/resource1,http://www.w3.org/1999/02/22-rdf-syntax-ns#type,http://example.org/class1
http://example.org/resource2,http://example.org/property1,"Literal value"

Running the script with this input will produce an output file named output.nt with the following content:

<http://example.org/resource1> <http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://example.org/class1> .
<http://example.org/resource2> <http://example.org/property1> "Literal value"@en .

License

Source code is made available under the BSD 3-Clause License. For questions, contact Darnelle Melvin.