Re: There's No Money in Linked Data

Hi Andreas, Prateek,

Very good points that you make about trust and domains.
In fact specific domains like the biology one or the culture one (see lodlam.net) try to address these issues in much more specific terms and business models that what would be discussed on this public-lod list.
So maybe that's whypeople around here just miss them.

For example I'm proud to be part of an initiative that releases a lot of CC0 metadata and tries to think of business models for it [1]. But often techies are just not the best/only audience to spend efforts on: we need to discuss with data owners, other actors in the domains... In fact the guys leading these discussions in my project involve me only once in a while ;-)

Best,

Antoine

[1] for example
http://www.slideshare.net/antoineisaac/sxs-wi-culturehack-17106524
http://www.slideshare.net/hverwayen/business-model-innovation-open-data
pro.europeana.eu/support-for-open-data


> Hi Andreas,
>
> Thank you for the post and for the discussion. I agree with most of it. Some specific comments
>
> *2. Most datasets of the LOD cloud are maintained by a single person or by nobody at all *(at least as stated on datahub.io <http://datahub.io/>)
>
> I think this is key, may be having a tiered system like (apache? ) might help. Datasets with one person involved, go into incubator phase? and then later on depending on community involvement, usage, bugs/errors found they are promoted to an advanced level? This will ensure a greater oversight and community involvement. This might help even with the issues of quality as well.
>
> *But now it’s time to clean up*:
>
> Very crucial. It is something we have tried to point out in the past, [1]
>
> Minor point:
>
> *1. The LOD cloud covers mainly ‘general knowledge <http://en.wikipedia.org/wiki/General_knowledge>‘ in contrast to ‘domain knowledge <http://en.wikipedia.org/wiki/Domain_knowledge>‘
>
> *
> There are more domain specific datasets on LOD, Geonames, Music Brainz, Bio2RDF (you pointed out), Lingvoj,... I think there are few DBpedia like datasets (Freebase, and CIA Factbook). A big collection of information about places,
> *
>
> *
> *Reference:
>
> *
>
>
>         [1] Linked data is merely more data
>
> P. Jain <http://resweb.watson.ibm.com/researcher/view.php?person=us-jainpr>, P. Hitzler, P.Z. Yeh, K. Verma, A.P. Sheth
> /Linked Data Meets Artificial Intelligence/, 82--86, 2010
>
> Regards
>
> Prateek
>
> - - - - - - - - - - - - - - - - - - -
> Prateek Jain, Ph. D.
> RSM
> IBM T.J. Watson Research Center
> 1101 Kitchawan Road, 37-244
> Yorktown Heights, NY 10598
> http://resweb.watson.ibm.com/researcher/view.php?person=us-jainpr
>
>
>
> *
> *
>
>
> On Fri, Jun 7, 2013 at 9:03 AM, Andreas Blumauer (Semantic Web Company) <a.blumauer@semantic-web.at <mailto:a.blumauer@semantic-web.at>> wrote:
>
>     Hi Prateek, hi all,
>
>     thank you for the more precise formulation of your hypothesis.
>
>     I've been thinking for a while what the reasons are for the low uptake of LOD in non-academic projects.
>
>     Here is the outcome: http://blog.semantic-web.at/2013/06/07/the-lod-cloud-is-dead-long-live-the-trusted-lod-cloud/<http://blog.semantic-web.at/2013/06/07/the-lod-cloud-is-dead-long-live-the-trusted-lod-cloud/>
>
>     What do you think?
>
>     Kind Regards,
>
>     Andreas
>
>     ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
>
>         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
>
>
>
>
>
> --
> Prateek

Received on Monday, 24 June 2013 10:56:16 UTC