Convolutional neural networks raised the bar for machine learning and artificial intelligence
applications, mainly due to the abundance of data and computations. However, there is not …

One of the biggest challenges in the transition to open science is making data interoperable.
Ideally, existing schemas and vocabularies are (re-) used to describe data, but these are …

In the past two decades, the digitization of humanities resources has rapidly expanded,
giving rise to the field of Digital Humanities (DH). This evolution has fostered a growing need …

The steps from primary source to scholarly claim typically follow a 'breadcrumb trail'of wide-
ranging decisions by one or more scholars. For replication studies, these decisions must be …

The traditional record-based approach to the description of Cultural Heritage is nowadays
obsolete. It is unable to properly handle complex descriptions and it cannot support …

Vast amounts of heterogeneous knowledge are becoming publicly available in the form of
knowledge graphs, often linking multiple sources of data that have never been together …

This article explores how terms are incorporated into the conference submission and review
process for the international digital humanities conference. This article provides an overview …

Reconstruction of historical persons and family ties is the bread and butter of many
researchers and genealogists. With the increasing digital availability of historical person …

TIC-Collaborative was a collaborative digital humanities project that focused on
transnational intellectual cooperation (TIC) in the long nineteenth century, in particular on …

the “BHAI-Artificial Intelligence applied to Byzantine Sigillography” interdisciplinary project
(Projet-ANR-21-CE38-0001) is presented; it aims at proposing protocols and software …