University of Modena
and Reggio Emilia

DHMORE

DHMoRe combines digital technologies and humanistic knowledge
to better understand the past and create cultural enterprise for the future.

The Interdepartmental Research Centre on Digital Humanities, “DHMoRe”, was founded in 2019 by the “Enzo Ferrari” Department of Engineering and by the Department of Linguistic and Cultural Studies of the University of Modena and Reggio Emilia. The Centre brings together skills and research activities related to digitization and automatic understanding of cultural heritage, and counts 54 members across six Departments.

One of the flagship projects of the DHMoRe Centre is the DHMoRe Lab project. It includes two research laboratories dedicated to protecting and enhancing cultural heritage artefacts, with a specific attention to archival and documentary assets:

1. A digital cataloguing and augmented fruition laboratory
2. An automatic text comprehension laboratory.

  • Director of the Interdipartimental Center for Digital Humanities – DHMORE, Associate Professor, University of Modena and Reggio Emilia
    Prof. MATTEO AL KALAK
  • Deputy Director of the Interdipartimental Center for Digital Humanities – DHMORE, Tenure Track Assistant Professor, University of Modena and Reggio Emilia
    LORENZO BARALDI PhD
  • Interdipartimental Center for Digital Humanities – DHMORE
    CARLO BAJA GUARIENTI PhD
THE PROJECT
UNIVERSITY OF MODENA E REGGIO EMILIA: PROJECTS

DHMORE

The DHMoRe Lab project employs the documentary heritage of various cultural bodies in order to design innovative forms of acquisition and cataloguing of manuscripts. Also, it develops algorithms for the automatic recognition of handwritten documents. On the basis of past experiences and research projects, DHMoRe Lab develops tools for enhancing the patrimony and allowing an easier and wider use of historical texts.

Once digitised, documents from different collections are uploaded and catalogued on a platform developed specifically for the project, called Lodovico. This allows the consultation of digitised archives by experts and onlookers, through a simple and intuitive interface.

In parallel, the project develops Artificial Intelligence algorithms for the automatic reading of manuscripts. The digitised manuscripts are “read” by a handwritten recognition algorithm, which translates them into digital text. In this way, it is possible to search for information easily within large archives, and to carry out automatic textual analysis.

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