On 10-09-08 18:36, Leigh Dodds wrote: > Hi, > > I've updated several packagea and knot had any issues. While CKAN may > not be to everyone's taste, it's a much, much better than the previous > approaches which were largely opaque
Thank you for this Leigh. > The fact that we will now have more structured data describing the > cloud so that it can be analysed is another big win. Converting the > data to RDF is easy. The CKAN API is simple and easy to use. In fact, for python hackers, there is http://bitbucket.org/ww/ckanrdf which is another kettle of fish, but it will crawl the CKAN API and put a DCAT representation into an rdflib store (the precise way this is handled -- see http://ordf.org/ is another topic that I would be very happy to discuss). Anyone is, of course, perfectly welcome to roll their own as was done for the current LOD work. > Maybe the grumbling can be converted into useful contributions to the > CKAN code base, which is open source and being used by a number of > different organisations. No one ga bothered to create anything better > in the past, so using what's available and looking for ways to improve > it seems like a more constructive approach IMHO. I would suggest that unless there is particular interest on the public-lod list about the workings of CKAN and how it could be improved that we could continue discussion on the [email protected] list. Contributions of code, ideas and (constructive) criticism alike are more than welcome. Cheers, -w -- William Waites <[email protected]> Mob: +44 789 798 9965 Open Knowledge Foundation Fax: +44 131 464 4948 Edinburgh, UK RDF Indexing, Clustering and Inferencing in Python http://ordf.org/
