Hi,

Let me get into this thread with a bit of a provocative statement.

I think the issue is not whether there is money or not in linked data, but: how 
much money is in linked data ?

Lot of money has been injected by research funds, maybe governments and maybe 
even industry. 
Is the business generated of less, more, or just about the same value ? 

Another point of view, perhaps more appropriate, is that Linked-Data is a bit 
like building highways. You can eventually measure the economic benefit of 
having them, but (at least in several countries) it's not something from which 
you expect a return.

ciao,
Andrea


Il giorno 06/giu/2013, alle ore 13:13, Prateek <[email protected]> ha 
scritto:

> For some reason, my original post didn't appear in the mailing list archives. 
> My apologies for duplicate posts, if they show up here.
> 
> ---------- Forwarded message ----------
> From: Prateek <[email protected]>
> Date: Wed, Jun 5, 2013 at 7:16 PM
> Subject: Re: There's No Money in Linked Data
> To: [email protected], Semantic Web <[email protected]>, 
> [email protected]
> 
> 
> Hello All,
> 
> I am one of the authors of the work being discussed.
> 
> All the stuff I have seen till now is about Linked Data being great and 
> useful for data integration within commercial settings. The work does not 
> disputes that. I agree we didn't use the proper term, and from the reading of 
> the work it becomes clear we didn't complain about this aspect. The work will 
> be revised to correct the terminology and other feedback from the mailing 
> list.
> 
> The issue pointed out in the work is with Linked Open Data Cloud data sets. 
> This is getting limited or no attention in the discussions. Its like saying 
> the technology is awesome, lets not worry so much about the 'open' data sets. 
> 
> In Adrea's blog he is saying technology is mature now. That is great. But 
> these technologies have been around for a while now.
> 
> The question still remains, what about the 'open' datasets amassed till now? 
> The 300+ datasets which everyone uses in their slides.
> 
> In the blog
> 
> 
> "Yes, there is a critical mass of available LOD sources (for example UK 
> Ordnance Survey) and also of high-quality thesauri and ontologies (for 
> example Wolter Kluwer’s working law thesaurus) to be reused in corporate 
> settings"
> 
> But they have been around for about 6 yrs? Why haven't they been used till 
> now besides academic playgrounds or for pure research? Is it not good enough 
> to be used? In the hope it will happen one day? In your blog there is a link 
> for use case of Linked Data. Why don't we find same thing for Linked Open 
> Data?
>  
> (These are all questions which I have pondered about, not a criticism)
> 
> I have tried collecting the use cases before for LOD 
> http://comments.gmane.org/gmane.org.w3c.public-lod/1575
> 
> The response was limited.
> 
> Happy to see the discussion, but I think the main issue seems to be getting 
> sidelined.
> 
> Regards
> 
> Prateek
> 
> Note: The views expressed herein are my own and do not necessarily reflect 
> the views of my co-authors of the work 'There's No Money in Linked Data' and 
> my employer.
> 
> - - - - - - - - - - - - - - - - - - - 
> 
> Prateek Jain, Ph. D.
> RSM
> IBM T.J. Watson Research Center
> 1101 Kitchawan Road, 37-244
> Yorktown Heights, NY 10598
> Linkedin: http://www.linkedin.com/in/prateekj 

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