On May 19, 2013, at 23:42, Pascal Hitzler <[email protected]> wrote:
> On 5/18/2013 8:46 AM, David Wood wrote: >> Good work, Pascal. Some minor comments: >> >> 1) Licenses (and license compliance) are issues with much broader >> communities, including Open Source software and other forms of open >> content. > > yes, certainly :) > >> 2) I wish you had used the term Linked *Open* Data to avoid purely >> commercial users of Linked Data being confused. > > I guess I'm guilty (as are many others in fact) of not being very clear in my > terminology regarding the distinction of Liked Data and Linked Open Data. But > then, our text shows that one has to take the "open" with a caveat ... so > perhaps the confusion in terminology is actually indicative of a deeper > problem ... ? Hah, yes. I see your point :) Regards, Dave > > Pascal. > >> Regards, Dave -- http://about.me/david_wood >> >> >> >> On May 17, 2013, at 22:15, 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 >>> >>> >> > > -- > 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 > >
