> Now that the dolt-splat has been applied and RDFa has straightened up with 1.1 Lite, why continue to punish data publishers/consumers with two redundant solutions? -- Yes, this. The differences are marginal now and the two co-existing adds confusion precisely where it is not needed.

Warmly,
Kevin


On 01/18/2013 11:18 AM, Young,Jeff (OR) wrote:
I appreciate the fact that Microdata set an example for how RDFa could 
streamline itself. Now that the dolt-splat has been applied and RDFa has 
straightened up with 1.1 Lite, why continue to punish data publishers/consumers 
with two redundant solutions?

http://manu.sporny.org/2012/mythical-differences/
http://manu.sporny.org/2012/microdata-cr/

The imagined differences distract people from what really matters: the data 
model.

In my situation as a Linked Data researcher trying to encourage production 
adoption, the choice between content-negotiation and/or RDFa inevitably boils 
down to what's practical in the context of a bespoke system. Some convenient 
leverage points suit content-negotiation, some suit injecting an RDFa blob into 
a previously designed HTML page. Intermingling RDFa in HTML the way it's 
'supposed' to be is surprisingly challenging for both technical and social 
reasons.

Jeff

On 18/01/13 11:23, Dan Brickley wrote:
With RDFa maturing (RDFa 1.1, particularly Lite), I wanted to ask here
about attitudes to RDFa.

I have acquired the impression somehow that in the Linked Data scene,
people lean more towards the classic 'a doc for the humans, another for
the machines' partitioning model. Perhaps this is just a consequence of
history; digging around some old rdfweb/foaf discussions[1] I realise
just how far we've come. RDFa wasn't an option for a long time; but it
is now.

So - questions. How much of the linked data cloud is expressed in some
variant HTML+RDFa alongside RDF/XML, Turtle etc.? When/if you do so,
are you holding some data back and keeping it only in the machine-
oriented dumps, or including it in the RDFa? Are you finding it hard to
generate RDFa from triple datasets because it's 'supposed'
to be intermingled with human text? What identifiers (if any) are you
assigning to real-world entities? Dataset maintainers ... as you look
to the future is RDFa in your planning? Did/does Microdata confuse the
picture?

I'm curious where we are with this...

Dan


Reply via email to