On 7/13/11 11:36 AM, Hugh Glaser wrote:
If a dataset has not been available in any Linked Data way for 3+ months it
should not appear on the cloud we show people, coloured or not.
It is no more. It has ceased to be. It has expired and gone to meet its maker.
If it had not been nailed to the cloud it would have fallen off. It is an
ex-dataset.
We could have another diagram of datasets whose metadata processes are now
history and have shuffled off this mortal coil, run down the SPARQL endpoint
and joined the bleeding choir invisible, but that would only be useful as an
historic document.
http://dbpedia.org/resource/Dead_Parrot_sketch
At this stage it is all about quality, not quantity.
In fact 3+ months seems a long time - I would go for 1 month.
Okay!
+1
Kingsley
Best
Hugh
On 12 Jul 2011, at 23:38, Kingsley Idehen wrote:
On 7/12/11 11:21 PM, Pablo Mendes wrote:
Thanks, Thomas.
Giovanni, it was a coreference resolution problem from my side. You meant
'they'=datasets and I read 'they'=people. It was anyhow a possible question to
come by and it's (hopefully) clearer now. Sorry for the confusion.
Now to the intended question.
I will discuss the issue of availability with my colleagues. But my personal
opinion is that availability is an important quality indicator, and should be
incorporated if feasible wrt to time and resource availability. Could we
perhaps have others (e.g. Sindice, Openlink cloud cache, etc.) also providing
their assessment of this specific indicator? It sounds like it's of shared
interest and could benefit from multiple independent assessments.
What do you think?
Cheers,
Pablo
On Jul 12, 2011 10:54 PM, "Thomas Steiner"<[email protected]> wrote:
Datasets that are inaccessible for large amounts of time (e.g., 3+ months)
ultimately undermine the LOD cloud. Rather than removing a dataset, why not
color code LOD cloud bubbles using the same color scheme from:
http://labs.mondeca.com/sparqlEndpointsStatus/index.html, if possible?
For better or for worse, the LOD cloud pictorial is now a staple re. Linked
Data marketing comms. collateral.
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