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The Case of the Digitized Works at a National Digital Library

Authors: José Borbinha; João Gil; Gilberto Pedrosa; João Penas;

The Case of the Digitized Works at a National Digital Library

Abstract

This paper describes the case of the processing of digitised works at the BND - National Digital Library, in Portugal. This initiative created half a million of digitized images, from 25,000 titles of physical items. These represent a very heterogeneous sample of historical or more relevant items (printed monographic and newspapers, maps, manuscripts, drawings, etc.). The digitisation resulted in TIFF files, which need to be automatically processed to create the technical metadata, apply image processing actions, OCR, word indexing, and create derived copies for access in PNG, JPG, GIF, and PDF, as also the master copies for each of those works, for preservation. That process is described in this paper. It is fully automated through several XML schemas for the control of the processes, description of the results (including the OCR outputs), descriptive metadata (in Dublin Core, MARC XML, etc.) and rights and structural metadata (in METS).

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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