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
