International Conference on Theory and Practice of Digital Libraries

Research and Advanced Technology for Digital Libraries pp 252-263 | Cite as

Impact Analysis of OCR Quality on Research Tasks in Digital Archives

  • Myriam C. Traub
  • Jacco van Ossenbruggen
  • Lynda Hardman
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9316)

Abstract

Humanities scholars increasingly rely on digital archives for their research instead of time-consuming visits to physical archives. This shift in research method has the hidden cost of working with digitally processed historical documents: how much trust can a scholar place in noisy representations of source texts? In a series of interviews with historians about their use of digital archives, we found that scholars are aware that optical character recognition (OCR) errors may bias their results. They were, however, unable to quantify this bias or to indicate what information they would need to estimate it. This, however, would be important to assess whether the results are publishable. Based on the interviews and a literature study, we provide a classification of scholarly research tasks that gives account of their susceptibility to specific OCR-induced biases and the data required for uncertainty estimations. We conducted a use case study on a national newspaper archive with example research tasks. From this we learned what data is typically available in digital archives and how it could be used to reduce and/or assess the uncertainty in result sets. We conclude that the current knowledge situation on the users’ side as well as on the tool makers’ and data providers’ side is insufficient and needs to be improved.

Keywords

OCR quality Digital libraries Digital humanities 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Myriam C. Traub
    • 1
  • Jacco van Ossenbruggen
    • 1
  • Lynda Hardman
    • 1
  1. 1.Centrum Wiskunde & InformaticaAmsterdamThe Netherlands

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