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Volume: 10 | Article ID: art00050
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An open source infrastructure for quality assurance and preservation of a large digital book collection
Sven Schlarb
  DOI :  10.2352/issn.2168-3204.2013.10.1.art00050  Published Online :  January 2013
Abstract

This article presents an open source infrastructure for processing large collections of digital books available at the Austrian National Library with a special focus on quality assurance tasks in the context of the European project SCAPE (www.scapeproject-eu). It describes the cluster hardware and the software components used for building the experimental IT infrastructure.More concretely, a set of best practices for the data analysis of large document image collections on the basis of Apache Hadoop will be shown. Different types of Hadoop jobs (Hadoop-Streaming-API, Hadoop MapReduce, and Hive) are used as basic components, and the Taverna workflow description language and execution engine (www.taverna.org.uk) is used for orchestrating complex data processing tasks.

Journal Title : Archiving Conference
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
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 DOI 10.2352/issn.2168-3204.2013.10.1.art00050
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Sven Schlarb, "An open source infrastructure for quality assurance and preservation of a large digital book collection"  in Proc. IS&T Archiving 2013,  2013,  pp 234 - 238,  https://doi.org/10.2352/issn.2168-3204.2013.10.1.art00050

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Copyright © Society for Imaging Science and Technology 2013
72010361
Archiving Conference
archiving
2161-8798
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2161-8798(20130101)2013:1L.234;1-
ac_v2013n1/splitsection50.xml
/ist/ac/2013/00002013/00000001/art00050
Articles
An open source infrastructure for quality assurance and preservation of a large digital book collection
SchlarbSven
01012013
2013
1
234
238
2013
This article presents an open source infrastructure for processing large collections of digital books available at the Austrian National Library with a special focus on quality assurance tasks in the context of the European project SCAPE (www.scapeproject-eu). It describes the cluster hardware and the software components used for building the experimental IT infrastructure.More concretely, a set of best practices for the data analysis of large document image collections on the basis of Apache Hadoop will be shown. Different types of Hadoop jobs (Hadoop-Streaming-API, Hadoop MapReduce, and Hive) are used as basic components, and the Taverna workflow description language and execution engine (www.taverna.org.uk) is used for orchestrating complex data processing tasks.