Video: Semantic Technologies & Linked Data for Digitized Collections
Video of METRO Event
Semantic Technologies & Linked Data for Digitized Collections
The presentation took place on March 7, 2012 during a meeting of the METRO Digitization Special Interest Group
Cynthia Tobar, CUNY Graduate Center
Leah Loscutoff, Brooklyn Historical Society
Ben Vershbow, Manager, NYPL Labs
Doug Reside, Digital Curator of Performing Arts, NYPL
How can librarians and archivists keep up with the soaring demand for content findability within their growing digital collections? This is something many search engines have not yet caught up with. However, by publishing data on the web as Linked Data, the web appears as a giant global database. As a result, some museums, libraries, and other data repositories are turning towards crowdsourcing, semantic technologies and linked data solutions, inviting volunteers to assist them with everything from transcribing rare archival documents, to annotating images and geographical datasets.
This panel will address the challenges and benefits of launching linked data and digital crowdsourcing projects, and panelists will discuss ways that sharing this type of knowledge work with the general public serves their institutions and changes the ways that staff interact with their public.
Topics addressed included:
– Improving access to and visibility of sources for researchers
– Workflow and platforms
– The unanticipated benefits and challenges of deploying such projects
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About Gary Price
Gary Price (email@example.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. He earned his MLIS degree from Wayne State University in Detroit. Price has won several awards including the SLA Innovations in Technology Award and Alumnus of the Year from the Wayne St. University Library and Information Science Program. From 2006-2009 he was Director of Online Information Services at Ask.com. Gary is also the co-founder of infoDJ an innovation research consultancy supporting corporate product and business model teams with just-in-time fact and insight finding.