On 5/17/2013 10:32 PM, Samuel Rose wrote:
On Fri, May 17, 2013 at 10:15 PM, 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
Thanks, Pascal and co. Very useful!
It seems the suggestion here is to release under public domain for the
greatest freedom?
Well, yes, but the devil is in the details, e.g. if the data is derived
from other data or websites, which might not have been so released ...
Pascal.
--
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
--
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
