Annuaire des spécialistes et experts

Data Mining Historical Newspaper Metadata - Old News Teaches History

Article de colloque/conférence

2016

Jean-Philippe Moreux

2016/04/21

Hamburg

Staats- und Universitätsbibliothek Hamburg Carl von Ossietzky

IFLA News Media Section Conference

Fouiller les métadonnées de la presse ancienne

http://altomator.github.io/EN-data_mining/

In this age of Big Data this paper describes how the state-of-the-art OLR (optical layout recognition) technique in one of the largest heritage press digitization projects in Europe (www.europeana-new

In this age of Big Data this paper describes how the state-of-the-art OLR (optical layout recognition) technique in one of the largest heritage press digitization projects in Europe (www.europeana-newspapers.eu, 2012-2015) was used in a data mining experiment. Data analysis was applied to descriptive metadata (number of pages, articles, words, illustrations, ads…) derived from a subset of the Europeana Newspapers collection. The METS/ALTO XML data from a 850K page subset of six XIXth-XXth century French newspaper titles from the collection was analyzed with data mining and data visualization techniques that show promising ways for the production of knowledge about historical newspapers that are of great interest for digital libraries (digitization programs management, curation, and mediation of newspaper collections) as well as for the digital humanities. Equipped with basic tools widely used in libraries (XSL, spreadsheet, charts generator), we show that simple newspaper metadata can give insights into the history of the press and into history itself.

Articles scientifiques

ALTO, data mining, data visualisation, digital libraries, metada, METS, OCR, OLR, press