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.
Now is the time for a revolution in discovery.
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.
Stanford University: “Library-Inspired Artificial Intelligence: Discovery, Part 1”
Filed by October 22, 2018on