Semantic Document Selection

Historical Research on Collections That Span Multiple Centuries
  • Daan Odijk
  • Ork de Rooij
  • Maria-Hendrike Peetz
  • Toine Pieters
  • Maarten de Rijke
  • Stephen Snelders
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7489)

Abstract

The availability of digitized collections of historical data, such as newspapers, increases every day. With that, so does the wish for historians to explore these collections. Methods that are traditionally used to examine a collection do not scale up to today’s collection sizes. We propose a method that combines text mining with exploratory search to provide historians with a means of interactively selecting and inspecting relevant documents from very large collections. We assess our proposal with a case study on a prototype system.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Daan Odijk
    • 1
  • Ork de Rooij
    • 1
  • Maria-Hendrike Peetz
    • 1
  • Toine Pieters
    • 2
  • Maarten de Rijke
    • 1
  • Stephen Snelders
    • 2
  1. 1.ISLAUniversity of AmsterdamThe Netherlands
  2. 2.Descartes Center for the History and Philosophy of the Sciences and the HumanitiesUtrecht UniversityThe Netherlands

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