Dear Leigh,
Since your analysis in 2009, I can confirm nothing has significantly
changed.
We have also made a similar survey [1] at OEG-UPM, this time grouping
similar licenses (from CC and ODC) and getting analogous results.
Perhaps the growth of datasets in the public domain is remmarkable.
Regading the methodology, I just checked the asserted metadata in the
LOD group in datahub, the next step being checking whether the licensing
terms have also been asserted in the datasets.
Regards,
Víctor
[1] http://www.licensius.com/blog/lodlicenses
From: Leigh Dodds <[email protected]>
Date: Sat, 18 May 2013 09:58:24 +0100
Message-ID:
<CAC_nr_qkadY28HKe0-4dYQ52DP_b=_h59VhRUzztq=pdxed...@mail.gmail.com>
To: Pascal Hitzler <[email protected]>
Cc: public-lod community <[email protected]>
Hi Pascal,
Its good to draw attention to these issues. At ISWC 2009 Tom Heath,
Kaitlin Thaney, Jordan Hatcher and myself ran a workshop a legal and
social issues for data sharing [1, 2]. Key themes from the workshop
were around the importance of clear licensing, norms for attribution,
and including machine-readable license data.
At the time I did a survey of the current state of licensing of the
Linked Data cloud, there's a write-up [3] and diagram [4].
*Looking over your analysis, I don't think the picture has changed**
**considerably since then. We need to work harder to ensure that data is**
**clearly licensed.* But this is a general problem for Open Data, not
just Linked Open Data.
You don't say in your paper how you did the analysis. Did you use the
metadata from the LOD group in datahub? [5]. At the time I had to do
mine manually, but it wouldn't be hard to automate some of this now,
perhaps to create an regularly updated set of indicators.
One criteria that agents might apply when conducting "Follow Your
Nose" consumption of Linked Data is the licensing of the target data,
e.g. ignore links to datasets that are not licensed for your
particular usage.
Cheers,
L.
[1].
http://opendatacommons.org/events/iswc-2009-legal-social-sharing-data-web/
[2].
http://blog.okfn.org/2009/11/05/slides-from-open-data-session-at-iswc-2009/
[3]. http://blog.ldodds.com/2010/01/01/rights-statements-on-the-web-of-data/
[4]. http://www.flickr.com/photos/ldodds/4043803502/
[5]. http://datahub.io/group/lodcloud
On Sat, May 18, 2013 at 3:15 AM, Pascal Hitzler
<[email protected]> wrote:
> 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
> [email protected] http://www.knoesis.org/pascal/
> Semantic Web Textbook: http://www.semantic-web-book.org
> Semantic Web Journal: http://www.semantic-web-journal.net
>
>
--
Leigh Dodds
Freelance Technologist
Open Data, Linked Data Geek
t: @ldodds
w: ldodds.com
e: [email protected]
--
Víctor Rodríguez-Doncel
D3205 - Ontology Engineering Group (OEG)
Departamento de Inteligencia Artificial
Facultad de Informática
Universidad Politécnica de Madrid
Campus de Montegancedo s/n
Boadilla del Monte-28660 Madrid, Spain
Tel. (+34) 91336 3672
Skype: vroddon3
