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A simple python implementation of the W3C PROV data model

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Project description

A python library for W3C Provenance Data Model supporting PROV-O output.

Kleio is free software released under the MIT license.

Getting Started

Kleio aims to be a pythonic PROV API with support for PROV-O serialization as RDF/XML, N3, Turtle, and JSON-LD.

from kleio import prov

prov.bind_ns("test", "http://tw.rpi.edu/ns/test#")

entity = prov.Entity("test:entity")
entity.set_label("example entity")

activity = prov.Activity("test:activity")
activity.set_label("example activity")

entity.set_was_generated_by(activity)
print(prov.serialize(format="turtle"))

output:

@prefix prov: <http://www.w3.org/ns/prov#> .
@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
@prefix test: <http://tw.rpi.edu/ns/test#> .
@prefix xml: <http://www.w3.org/XML/1998/namespace> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .

<test:activity> a prov:Activity ;
    rdfs:label "example activity" ;
    prov:generated <test:entity> ;
    prov:influenced <test:entity> .

<test:entity> a prov:Entity ;
    rdfs:label "example entity" ;
    prov:wasGeneratedBy <test:activity> ;
    prov:wasInfluencedBy <test:activity> .

Features

  • An implementation of the W3C PROV Data Model in Python

  • Supports output as PROV-O in RDF/XML, Turtle, N3, NTriples, and JSON-LD format

Support

More information is available on the project webpage:

https://github.com/tetherless-world/kleio

Continuous integration status details available from Travis CI:

Build Status

The documentation can be built by doing:

$ python setup.py build_sphinx

And is also available from ReadTheDocs:

http://kleio.readthedocs.org/en/latest

Project details

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Source Distribution

kleio-0.1.0.tar.gz (10.5 kB view hashes)

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