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A lightweight orm for Linked Data

Project description

ldtools

  • A lightweight “ORM” to handle Linked Data Resources and their Origins

  • Written in python

  • Stores everything in memory

  • Dependencies: rdflib

  • API is still very unstable because I need to add more features and don’t know yet how this will turn out

  • 90% test coverage to describe how it works. Most functionality is described in the tests

  • More features following soon.

How to use it?

First, we create a Resource object (this will create an Origin object):

from ldtools import Resource, Origin

uri = “http://dbpedia.org/resource/Karlsruhe

r, created = Resource.objects.get_or_create(uri, auto_origin=True)

Process it, hopefully discovering more Origins in there (rdfs:seeAlso, owl:sameAs…)

import rdflib

r._origin.GET(follow_uris=[rdflib.OWL.sameAs])

import pprint

pprint.pprint(r.__dict__)

Process all the other Origins we know about

Origin.objects.GET_all()

Result: 5 URIs crawled and 500 Resources discovered!

Why?

  • The Semantic Web is out there and there is really not enough tools yet to work with Linked Data.

  • SPARQL is not needed to get the RAW data from resources, this library demonstrates that. Just the basic Linked Data Stack: URIs, Content Negotiation, RDF needed.

  • ldtools intends to make it easy to handle the data you get from an URI: read what’s in there, follow links you discover

  • Modification of objects and ability to write back to its origin will follow.

Contact

You can contact me directly via Twitter @daniel_aus_wa or drop me an email to the address mentioned in setup.py

Please submit ideas and bugs to http://github.com/dmr/ldtools/issues.

Credits

Thanks to Django, Flask and django-sentry for inspiration regarding model structure!

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