Prediction of Selection Decision of Document Using Bibliographic Data at the National Library of France (BnF)
Identifieur interne : 000227 ( Main/Exploration ); précédent : 000226; suivant : 000228Prediction of Selection Decision of Document Using Bibliographic Data at the National Library of France (BnF)
Auteurs : Ahmed Ben Salah [France] ; Geneviève Cron [France] ; Nicolas Ragot [France] ; Thierry Paquet [France]Source :
English descriptors
- mix :
Abstract
The selection process of the documents is a very important step in mass digitization projects. This is especially true at the BnF, where the digitization should include or not OCRization depending on the OCR results expected. Consequently, the selection task is very complex and time consuming due to the number of documents to be processed and the diversity of the selection criteria to consider. Trying to improve and simplify this task by automation, we studied the relationship between bibliographic data and the selection decisions of documents. We used two statistical analysis : a factor analysis of correspondence and a multiple correspondence analysis. Our analysis has shown that, for example, the documents in format "4 or GR FOL" and edited "between 1961 and 1990" in Morocco are more likely to be "Selected". However, the documents in format "16 or 8" and edited "between 1871 and 1800 in English or Spanish have a greater chance to be "Not Selected".
Url:
Affiliations:
- France
- Centre-Val de Loire, Région Bourgogne, Région Centre
- Rouen, Tours
- Centre Val de Loire Université, Université François-Rabelais de Tours, Université de Rouen
Links toward previous steps (curation, corpus...)
- to stream Hal, to step Corpus: 000099
- to stream Hal, to step Curation: 000099
- to stream Hal, to step Checkpoint: 000065
- to stream Main, to step Merge: 000231
- to stream Main, to step Curation: 000227
Le document en format XML
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76821 Mont-Saint-Aignan</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-rouen.fr/</ref></desc></org></tutelle><tutelle active="#struct-301288" type="indirect"><org type="department" xml:id="struct-301288" status="VALID"><orgName>Institut National des Sciences Appliquées - Rouen</orgName><orgName type="acronym">INSA Rouen</orgName><desc><address><country key="FR"></country></address></desc><listRelation><relation active="#struct-301232" type="direct"></relation></listRelation></org></tutelle><tutelle active="#struct-301232" type="indirect"><org type="institution" xml:id="struct-301232" status="VALID"><orgName>Institut National des Sciences Appliquées</orgName><orgName type="acronym">INSA</orgName><desc><address><country key="FR"></country></address></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Rouen</settlement><region type="region" nuts="2">Région Bourgogne</region></placeName><orgName type="university">Université de Rouen</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>Correspondence Factor Analysis</term><term>Data analysis</term><term>Multiple Correspondence Analysis</term><term>Optical Character Recognition</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The selection process of the documents is a very important step in mass digitization projects. This is especially true at the BnF, where the digitization should include or not OCRization depending on the OCR results expected. Consequently, the selection task is very complex and time consuming due to the number of documents to be processed and the diversity of the selection criteria to consider. Trying to improve and simplify this task by automation, we studied the relationship between bibliographic data and the selection decisions of documents. We used two statistical analysis : a factor analysis of correspondence and a multiple correspondence analysis. Our analysis has shown that, for example, the documents in format "4 or GR FOL" and edited "between 1961 and 1990" in Morocco are more likely to be "Selected". However, the documents in format "16 or 8" and edited "between 1871 and 1800 in English or Spanish have a greater chance to be "Not Selected".</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Centre-Val de Loire</li><li>Région Bourgogne</li><li>Région Centre</li></region><settlement><li>Rouen</li><li>Tours</li></settlement><orgName><li>Centre Val de Loire Université</li><li>Université François-Rabelais de Tours</li><li>Université de Rouen</li></orgName></list><tree><country name="France"><region name="Région Bourgogne"><name sortKey="Ben Salah, Ahmed" sort="Ben Salah, Ahmed" uniqKey="Ben Salah A" first="Ahmed" last="Ben Salah">Ahmed Ben Salah</name></region><name sortKey="Cron, Genevieve" sort="Cron, Genevieve" uniqKey="Cron G" first="Geneviève" last="Cron">Geneviève Cron</name><name sortKey="Paquet, Thierry" sort="Paquet, Thierry" uniqKey="Paquet T" first="Thierry" last="Paquet">Thierry Paquet</name><name sortKey="Ragot, Nicolas" sort="Ragot, Nicolas" uniqKey="Ragot N" first="Nicolas" last="Ragot">Nicolas Ragot</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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