- From: Leigh Dodds <leigh@ldodds.com>
- Date: Fri, 27 Jul 2012 18:12:01 +0100
- To: Steve K Speicher <sspeiche@us.ibm.com>
- Cc: public-ldp-wg@w3.org
Hi, [pruning response] On Sun, Jul 22, 2012 at 4:11 PM, Steve K Speicher <sspeiche@us.ibm.com> wrote: > Hi Leigh, > > Sorry for slow follow-up as well. I've included some comments where > needed. > > Leigh Dodds <ld@talis.com> wrote on 07/11/2012 08:22:35 AM: [...] >> I understand the general aim, as clients do have more chance of >> working with data if they can understand it. One might argue that this >> applies just as well to schema terms as well as datatypes. For schema >> you've encouraged some best practices and convergence on standard >> terms. The same approach could be applied to datatypes. >> >> There's a matter of degree here too. Truly custom datatypes are >> unlikely to be interoperable: there still isn't a well defined recipe >> for defining them. However the XML schema datatypes are all >> well-defined, if not always widely supported. As I pointed out, I >> think more of them are in common use than the subset recommended in >> the profile. >> >> In this kind of standardisation effort I think its worth surveying >> usage to determine current practice and deciding the best route >> forward. >> > > Seems like a good suggestion, do you have any good references to start > with? Off the top of my head some good sources to look at would be: * data type support in triple stores/SPARQL implementations. i.e. what types are being natively supported? * survey of type usage in the LOD cloud. Ought to be possible to query some of the LOD caches and extra some metrics on usage of types. Cheers, L. -- Leigh Dodds Freelance Technologist Open Data, Linked Data Geek t: @ldodds w: ldodds.com e: leigh@ldodds.com
Received on Friday, 27 July 2012 17:12:29 UTC