- From: Krzysztof Janowicz <janowicz@ucsb.edu>
- Date: Tue, 10 Apr 2018 11:08:31 -0700
- To: Sarven Capadisli <info@csarven.ca>, public-lod@w3.org
On 04/10/2018 10:43 AM, Sarven Capadisli wrote: > On 2018-04-10 18:18, Krzysztof Janowicz wrote: >> Yes, exactly. IMHO, there are two big next steps. First, getting >> authoritative data providers to publish their own data as Linked Data >> instead of us as research community triplifiying their data. This is the >> only way to ensure maintenance and quality on the long term. Second, >> simplifying the interaction with Linked Data to integrate it into >> internal as well as external workflows. I hate to say it, but many of >> our technologies and KR languages are too complicated. Finally, ideally, >> we would try to take the data from IOS, Springer, Elsevier, and so forth >> and show the value proposition of Linked Data in action by designing >> interesting services on top of them. This could be in the form of a >> challenge or workshop. As IOS Press has also published document >> embeddings and linked them to the papers, such services can use very >> rich data. To some degree our Linked Data Scientometrics are such a service. > > Do you think that it may be more efficient, affordable, and reasonable > to create and publish our own Linked Data, instead of: > > * giving our data to a third-party; > * triplifying "their" data and having it available from their platform; > * conducting further research and building dependency to their platform Yes :-). It will need both. We should be publishing our own data but also make sure that we form an ecosystem that includes parties outside of academia. That said, their data is published under a very liberal license so you are not really building dependencies. To achieve a greater goal, the first step should be to join forces. > > -Sarven > http://csarven.ca/#i > -- Krzysztof Janowicz Geography Department, University of California, Santa Barbara 4830 Ellison Hall, Santa Barbara, CA 93106-4060 Email: jano@geog.ucsb.edu Webpage: http://geog.ucsb.edu/~jano/ Semantic Web Journal: http://www.semantic-web-journal.net
Received on Tuesday, 10 April 2018 18:09:07 UTC