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Conference object . 2016
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https://doi.org/10.1109/das.20...
Article . 2016 . Peer-reviewed
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Making Europe's Historical Newspapers Searchable

Authors: Clemens Neudecker; Apostolos Antonacopoulos;

Making Europe's Historical Newspapers Searchable

Abstract

This poster paper provides a rare glimpse into the overall approach for the refinement of historical newspapers with text and layout recognition in the Europeana Newspapers project. Within three years, the project processed more than 10 million pages of historical newspapers from 12 national and major libraries to produce the largest open access and fully searchable text collection of digital historical newspapers in Europe. In this, a wide variety of legal, logistical, technical and other challenges were encountered. After introducing the background issues in newspaper digitization in Europe, the paper discusses the technical refinement workflow in greater detail. It explains what decisions were taken in the design of the large-scale processing workflow to address these challenges, what were the results produced and what has been identified as best practices.

The full paper is available here: http://www.primaresearch.org/publications/DAS2016_Neudecker_HistoricalNewspapers

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Keywords

Digitization, Europeana, Optical Character Recognition, Newspapers

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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