Skip to main content

Navigating without a map: discovery in a world beyond subject access

What do you do when your library has a unique collection, like ETDs -- but it unfortunately does not have high-quality subject metadata? How can you make that content discoverable and (dare I say) engaging?

In this talk, we'll show a machine learning approach that situates a collection within a conceptual space. We'll then explore that space, using a variety of visual and textual approaches, and see how it can be the back end for possibilities as diverse as...

  • Visualizing a whole collection at a glance, and seeing stories in it
  • A recommendation engine (if you like X, try reading Y!)
  • A way to find people with shared interests
  • A quick-and-dirty literature review

Speaker(s)


3:35 PM
20 minutes