This paper explores the challenge of processing and extracting information from large quantities of printed serial sources from the 19th century, which have been largely untapped due to the inadequacies of existing extraction techniques. We focus on the Habsburg Central Europe’s Hof- und...

This paper explores the challenge of processing and extracting information from large quantities of printed serial sources from the 19th century, which have been largely untapped due to the inadequacies of existing extraction techniques. We focus on the Habsburg Central Europe’s Hof- und...

Creating collections of societally impactful events is a challenging task given the sheer amount of information about such events covering a large variety of aspects and perspectives in web archives and the live web. The automatic creation of such collections from web archives typically does not...

Creating collections of societally impactful events is a challenging task given the sheer amount of information about such events covering a large variety of aspects and perspectives in web archives and the live web. The automatic creation of such collections from web archives typically does not...

This study presents a framework for automated evaluation of dynamically evolving topic models using Large Language Models (LLMs). Topic modeling is essential for organizing and retrieving scholarly content in digital library systems, helping users navigate complex and evolving knowledge domains....

This paper examines how privacy measures, such as anonymisation and aggregation processes for email collections, can affect the perceived usefulness of email visualisations for research, especially in the humanities and social sciences. The work is intended to inform archivists and data managers...

This special issue features the selected works of authors who have presented papers at the 2022 iteration of the Joint Conference on Digital Libraries (JCDL) in Cologne, Germany. The motto of the conference was “Bridging Worlds” and was run as a fully hybrid event. Ten papers covering all...

The automatic semantic structuring of scientific text allows for more efficient reading of research articles and is an important indexing step for academic search engines. Sequential sentence classification is an essential structuring task and targets the categorisation of sentences based on...

The number of scientific publications nowadays is rapidly increasing, causing information overload for researchers and making it hard for scholars to keep up to date with current trends and lines of work. Recent work has tried to address this problem by developing methods for automated...

Systematic literature reviews in educational research have become a popular research method. A key point hereby is the choice of bibliographic databases to reach a maximum probability of finding all potentially relevant literature that deals with the research question analyzed in a systematic...