Publié le 21 octobre 2020 Mis à jour le 21 octobre 2020

La KBR, l’ULB et l’UGent organisent une nouvelle série de séminaires consacrée au patrimoine culturel numérique, intitulée "KBR-ULB-UGent Digital Heritage Seminar". La première partie de cette série qui se déroulera d’octobre à décembre accueillera trois chercheurs en vidéoconférence. Ils présenteront leurs travaux qui allient collections patrimoniales, méthodes numériques et humanités numériques.

Prochaines rencontres :

“Remediating the Intelligence Triangle”
Par Juliette De Maeyer (Université de Montréal) et Dominique Trudel (Audencia Business School)
Date : le mardi 10 novembre 2020
Heure : de 15h à 16h30
Franklin Ford (1849-1918) is an American journalist, entrepreneur and media theorist who spent his career imagining innovative ways to reform the media ecosystem. Our project explores his contribution to the history of media and communication research and asks how technological utopias from a hundred years ago still resonate today. In this presentation, we will focus on an experiment: we have built a series of ‘bots’ (automated artifacts that dwell on social media platforms and on the internet) that seek to apply Ford’s theory about the circulation of information in society—a theory that he called the “Intelligence Triangle.” By remediating Ford’s oeuvre in unexpected ways, these bots speak to the materiality of digitized archives and keep challenging the difference between ‘old’ and ‘new’ media.

“Making more of volumes. Dissecting and searching norms in Books of Ordinances (1500-1850s)”
Par Annemieke Romein (Huygens Instituut voor Nederlandse Geschiedenis, Amsterdam)
Date : le mardi 8 décembre 2020
Heure : de 15h à 16h30
The project Entangled Histories used early modern printed normative texts. The computer used to have significant problems being able to read Dutch Gothic print or even Dutch Roman print, which is used in many of the sources. Using the Handwritten Text Recognition suite Transkribus (v.1.07-v.1.10), we reprocessed the original scans that had poor quality OCR, obtaining a Character Error Rate (CER) much lower than our initial expectations of  <5% CER. This result is a significant improvement that enables the searching through 75,000 pages of printed normative texts from 108 books originating from the seventeen provinces. Each text (norm) in the books concerns one or more topics or categories. A selection of normative texts was manually labelled with internationally used (hierarchical) categories. Using Annif, a tool for automatic subject indexing, the computer was trained to apply the categories by itself. Automatic metadata makes it easier to search relevant texts and allows further analysis.

Informations pratiques : Langue : anglais / séances de questions-réponses en anglais, en français ou en néerlandais.
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