November 13, 2018

Stanford University: “Library-Inspired Artificial Intelligence: Discovery, Part 1″

From a Stanford U. Library Blog Post by Catherine Nicole Coleman, Digital Research Architect:

In December of this year, Stanford Libraries will co-host a conference on artificial intelligence with the National Library of Norway in Oslo. In preparation for that event, Svein Arne Brygfjeld, who leads their library’s digitization and artificial intelligence efforts, visited Stanford earlier this month to meet with SUL AI Studio project teams.

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Now is the time for a revolution in discovery.

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Dimensionality reduction and classification—the essence of machine learning— are powerful techniques we can employ to keep up with the need to generate metadata for discovery. Already, our friends at the National Library of Norway are automating Dewey classification. Similar work has been done to predict Library of Congress subject headings. We can also use machine learning models and algorithms for natural language processing, to parse and structure the descriptive metadata we already have. Which is to say, the tremendous effort libraries have put into curating collections and carefully grooming catalog records over the years need not be lost.

Learn More, Read the Complete Blog Post (approx. 880 words)

See Also: A Look at Stanford U. Library AI Studio Projects (Fall 2018)

See Also: Artificial Intelligence and the Library of the Future, Revisited (November 2017)

Gary Price About Gary Price

Gary Price (gprice@mediasourceinc.com) is a librarian, writer, consultant, and frequent conference speaker based in the Washington D.C. metro area. Before launching INFOdocket, Price and Shirl Kennedy were the founders and senior editors at ResourceShelf and DocuTicker for 10 years. From 2006-2009 he was Director of Online Information Services at Ask.com, and is currently a contributing editor at Search Engine Land.

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