A lightweight orm for Linked Data
Project description
Ldtools is a simple library to handle RDF data more conveniently.
Features
A lightweight “ORM” to handle Linked Data Resources and their Origins
Written in python
Dependencies: rdflib
Stores everything in memory
API is still subject to change
Tests describe basic functionality
How to use it?
First, we create an Origin object:
import pprint import rdflib from ldtools import Resource, Origin
uri = “http://dbpedia.org/resource/Karlsruhe”
origin, created = Origin.objects.get_or_create(uri)
Process it, hopefully discovering more Origins in there (rdfs:seeAlso, owl:sameAs…):
origin.GET(only_follow_uris=[rdflib.OWL.sameAs,rdflib.RDFS.seeAlso])
If everything went well, there now is a Resource object for our uri:
resource, created = Resource.objects.get_or_create(uri, origin=origin) pprint.pprint(resource.__dict__)
Process all the other Origins we know about
Origin.objects.GET_all()
Result: 5 URIs crawled and 500 Resources discovered and processed.
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 and to follow links you discover
Based on that, you can modify your objects and PUT them back to their origin
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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