Finding centuries-old hyperlinks with a novel semi-supervised learning technique

  • Authors:

  • Xiaoyue Wang;Eamonn Keogh

  • Affiliations:

  • University of California Riverside, Riverside, CA, USA;University of California Riverside, Riverside, CA, USA

  • Venue:
  • Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries
  • Year:
  • 2009

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Abstract

Hyperlinks are so useful for searching and browsing modern digital collections that researchers have longer wondered if it is possi-ble to retroactively add hyperlinks to digitized historical documents. There has already been significant research into this endeavor for historical text; however, in this work we consider the problem of adding hyperlinks among graphic elements. While such a system would not have the ubiquitous utility of text-based hyperlinks, there are several domains where it can potentially significantly augment textual information.