Re: Webby Data

Thanks Jeremy, I think that's a useful distinction to make and have 
added text accordingly at
http://philarcher1.github.io/dwbp/bp.html#VersionIdentifiers

On 12/10/2015 08:01, Jeremy Tandy wrote:
> Hi all.
>
> Thanks to Phil for pointing out the BP for version identifiers etc. In
> relation to the possible approach, it says "two URIs both resolve to this
> document". Whilst this is true, it's worth considering (and pointing out in
> the doc) that the durable URL (used for the doc throughout its entire
> lifecycle) points to the resource that is the "document throughout its
> entire lifecycle and is subject to change" whilst the URLs of versions
> point to a resource that is immutable; a snapshot in time.
>
> Makx- you say that it's difficult to apply this to datasets? I think not.
> The important point is the durable URL always points to what the
> _publisher_ decides is most appropriate (e.g. the most up to date
> information set); this resource is mutable. The snapshots are immutable and
> should be provided different URLs. From my perspective the URLs are point
> to different resources - in some cases (e.g. the current version URL) they
> refer to the same information set.
>
> It's useful to be able to crosswalk between durable and versioned
> resources. The Linked Data Registry provides a formal description of the
> necessary relationships and talks about "VersionedThing".
>
> You can use the properties to express the interrelationships. This would
> then _imply_ that the resource is versioned. You don't explicitly need to
> say that it's a VersionedThing.
>
> That's all for now. Have to travel to work ...
>
> Jeremy
> On Sun, 11 Oct 2015 at 20:45, Makx Dekkers <mail@makxdekkers.com> wrote:
>
>> Phil,
>>
>> I agree that a latest version link and timestamps work fine for documents
>> in a publication workflow. Datasets are maybe a little bit more complex.
>> For example, if you add a section to a document, I think that everybody
>> would agree that it's a new version of the document. In the case of a
>> dataset, you could have datasets that change over time but are still
>> considered the same dataset. For example, a dataset recording today's
>> weather may be extended every hour with an additional column, and it still
>> would be today's weather.
>>
>> Makx.
>>
>>
>

-- 


Phil Archer
W3C Data Activity Lead
http://www.w3.org/2013/data/

http://philarcher.org
+44 (0)7887 767755
@philarcher1

Received on Wednesday, 14 October 2015 18:31:40 UTC