hmmm... when I posted "You'll have to invest a lot of time to use the right vocabularies (a) and right (external) URIs (b) to expose the right things (c)." earlier...

what about (c)?
I think there are publishers like the BBC, who have clear incentives - their business is to record things happing, logging history, not only about daily politics, economy, etc. but also culture, music, films, etc...

Well, DBpedia is also clear. This is the big hub, the reference for many terms. It gives you all kind of entities, well described, clear meaning (best at least what you can do, some disambiguation issues will always remain).

Then there are several other datasets with public data. Many of the projects behind them are publicly funded or by research grants. So there may be many individual inventives also of single persons and research groups.

What else?

regards,
AndyL

On Feb 9, 2009, at 4:03 PM, Kurt J wrote:


Hi List,

IMHO, the discussion about incentives v. costs is really interesting.
Publishing linked data is getting easier as better tools become
available.  As a relative new comer, i can already get a sense about
this.  But maybe we need to be more clear about the incentives.  I'm
not sure if this means more/better evangelist style documents or maybe
it means some killer end-user app or some combination.

What is out there to explain the incentives?

-kurt

On Mon, Feb 9, 2009 at 2:49 PM, Andreas Langegger <[email protected]> wrote:

It seems to me that the data in an rdbms is often structured in ways that are designed to be efficient for the rdbms to manage rather than in ways that make sense externally. Levels of normalisation are the main thing I'm thinking of. LD is most widely useful at 5th Normal Form, but then there are
tradeoffs that usually lead to an rdbms schema being more like 3NF.

I also think that this is the most crucial point. We can always say, well, it's easy, you just need to do this and that. But then comes the details. But on the other hand, you can do very complex mappings with D2R already to solve this. The only thing is lack of performance if you have many obscure
mappings for a larger data set!

Isn't the effort in publishing LD the same effort that one expends getting the data from the rdbms into HTML today, but that the data needs to be in RDF? When doing that don't tradeoffs in the schema have to be reconciled through queries that join from several tables or that select distinct entries in particular columns? Isn't that what Drupal and Ruby-n- Rails and
so on are optimised to do?

I agree with the notion of lowering the barrier and Virtuoso's mapping stuff is really interesting, but is the cost really that high right now?
Isn't it just the same as writing some dynamic web pages?

I think it depends if you just want to provide some RDFa pages, or if you want to provide SPARQL. In the second case, you have to do a formalized
mapping (e.g. with d2rq map or Virtuoso RDF views)






rob


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Dipl.-Ing.(FH) Andreas Langegger
Institute for Applied Knowledge Processing
Johannes Kepler University Linz
A-4040 Linz, Altenberger Straße 69









http://www.langegger.at
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Dipl.-Ing.(FH) Andreas Langegger
Institute for Applied Knowledge Processing
Johannes Kepler University Linz
A-4040 Linz, Altenberger Straße 69





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