Data catalog to RDF library

A small Python library for mapping a data catalog to rdf

The library contains helper classes for the following dcat classes:

• Catalog

• Dataset

• Distribution

• Data Service

Other relevant classes are also supported, such as:

• Contact (vcard:Kind)

The library will map to the Norwegian Application Profile of the DCAT standard.

Installation

To install the datacatalogtordf package, run this command in your terminal:

$ pip install datacatalogtordf

Usage

This package can be used like this:

from datacatalogtordf import Catalog, Dataset

# Create catalog object
catalog = Catalog()
catalog.identifier = "http://example.com/catalogs/1"
catalog.title = {"en": "A dataset catalog"}
catalog.publisher = "https://example.com/publishers/1"

# Create a dataset:
dataset = Dataset()
dataset.identifier = "http://example.com/datasets/1"
dataset.title = {"nb": "inntektsAPI", "en": "incomeAPI"}
#
# Add concept to catalog:
catalog.datasets.append(dataset)

# get rdf representation in turtle (default)
rdf = catalog.to_rdf(format="turtle")
print(rdf.decode())

Will produce the following output:

@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix dct: <http://purl.org/dc/terms/> .

<http://example.com/catalogs/1> a dcat:Catalog ;
    dct:publisher <https://example.com/publishers/1> ;
    dct:title "A dataset catalog"@en ;
    dcat:dataset <http://example.com/datasets/1> .

<http://example.com/datasets/1> a dcat:Dataset ;
    dct:title "incomeAPI"@en,
        "inntekstAPI"@nb .