- From: Pascal Hitzler <pascal.hitzler@wright.edu>
- Date: Sun, 19 May 2013 23:36:08 -0400
- To: Leigh Dodds <leigh@ldodds.com>
- CC: public-lod community <public-lod@w3.org>
Hello Leigh, thanks for the pointers, I apologize for missing relevant ones. And I agree we should say how exactly we got the data, good point. Pascal. On 5/18/2013 4:58 AM, Leigh Dodds wrote: > 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 > <pascal.hitzler@wright.edu> 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 >> 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 03:36:21 UTC