As with any choice of technology, there are benefits and downsides to modeling data using Resource Description Framework (RDF), appropriate situations for linked data and use cases that would be fulfilled more effectively by other frameworks. This presentation focuses on the pitfalls to avoid and the challenges of using graphs that are swept under the rug by some RDF advocates, and contrast them with the benefits in order to facilitate informed decision. More information is available at
http://www.cni.org/pbs/rdf-resource-description-failures-and-linked-data-letdowns/.
Previously released video from CNI's spring 2013 meeting:
-Hypothes.is: Annotating the World's Knowledge (Peter Brantley)
-Not Your Grandfather's Web Any More (David S.H. Rosenthal, Kris Carpenter Negulescu)
-Not Another Cross-Search Tool: The Digital Commons Network (JG Bankier, bepress)
-Publication and Research Roles for Libraries Using Spectral Imaging Data (Todd Grappone & Stephen Davison, UCLA)
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Discovery Turned Inside Out: Using schema.org & Google Site Search with Library Digital Collections (Will Sexton & Sean Aery)
-The Library Building as Research Platform (Antelman & York, NCSU)
-From the Version of Record to a Version of the Record (Herbert Van de Sompel)
-The Ithaka S+R Faculty Survey US 2012: First Release of Key Findings (Deanna Marcum & Roger Schonfeld of Ithaka S+R, and Judy Russell, U. of Florida)