Re: There's No Money in Linked Data

On 5/18/2013 2:25 AM, ProjectParadigm-ICT-Program wrote:
> I beg to differ. I have been looking at the use of linked data for both
> commercial and non-profit purposes and it is only with commercial used
> that these intellectual property rights issues pose a real obstacle.

Ah, yes. That, I believe, is what we wanted to say. The problem is with 
commercial reuse ...

Pascal.

> We are still thinking in business models of the old paradigm for online
> business.
>
> Think FaceBook. If enough users use linked data in predominantly streams
> of raw data but there are some collective cloud uses of this huge amount
> of data, the users of raw data become the monetizable commodity, not the
> linked data directly. But since the raw data defines the data user
> collective, the linked data acquires added value through its users
> through the cloud services employed.
>
> There you have it, Pascal you have forced me to give away part of the
> new categories of business models I mentioned in an earlier email,
>
> Indirect acquired added value through users.
>
> Milton Ponson
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> ------------------------------------------------------------------------
> *From:* Pascal Hitzler <pascal.hitzler@wright.edu>
> *To:* semantic-web@w3.org
> *Sent:* Friday, May 17, 2013 10:13 PM
> *Subject:* There's No Money in Linked Data
>
> We just finished a piece indicating serious legal issues regarding the
> commercialization of Linked Data - this may be of general interest,
> hence the post. We hope to stimulate discussions on this issue (hence
> the provokative title).
>
> Available from
> http://knoesis.wright.edu/faculty/pascal/pub/nomoneylod.pdf
>
> Abstract.
> Linked Data (LD) has been an active research area for more than 6 years
> and many aspects about publishing, retrieving, linking, and cleaning
> Linked Data have been investigated. There seems to be a broad and
> general agreement that in principle LD datasets can be very useful for
> solving a wide variety of problems ranging from practical industrial
> analytics to highly specific research problems. Having these notions in
> mind, we started exploring the use of notable LD datasets such as
> DBpedia, Freebase, Geonames and others for a commercial application.
> However, it turns out that using these datasets in realistic settings is
> not always easy. Surprisingly, in many cases the underlying issues are
> not technical but legal barriers erected by the LD data publishers. In
> this paper we argue that these barriers are often not justified,
> detrimental to both data publishers and users, and are often built
> without much consideration of their consequences.
>
> Authors:
> Prateek Jain, Pascal Hitzler, Krzysztof Janowicz, Chitra Venkatramani
>
> -- Prof. Dr. Pascal Hitzler
> Kno.e.sis Center, Wright State University, Dayton, OH
> pascal@pascal-hitzler.de <mailto:pascal@pascal-hitzler.de>
> http://www.knoesis.org/pascal/
> Semantic Web Textbook: http://www.semantic-web-book.org
> Semantic Web Journal: http://www.semantic-web-journal.net
>
>
>
>

-- 
Prof. Dr. Pascal Hitzler
Kno.e.sis Center, Wright State University, Dayton, OH
pascal@pascal-hitzler.de   http://www.knoesis.org/pascal/
Semantic Web Textbook: http://www.semantic-web-book.org
Semantic Web Journal: http://www.semantic-web-journal.net

Received on Monday, 20 May 2013 03:32:42 UTC