Re: Semantic Web pneumonia and the Linked Data flu (was: Can we lower the LD entry cost please (part 1)?)

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


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

Received on Monday, 9 February 2009 15:11:48 UTC