This workshop promotes data literacy in humanities, highlighting data as resources based on human decision-making. 12 PhD students meet in a World Café to peer review their projects mutually, emphasizing research design and reproducibility. By changing perspectives in a role-play, participants will develop their skills in methodology and scientific communication.

This workshop introduces the GOLEM ontology and knowledge graph, designed for analyzing narratives and fictions. Interoperability and integration with existing standards have guided its development. Participants will learn how to apply narrative theory through this semantic model and how to query the graph to explore and analyze narrative data.

This project builds a dataset that will serve as the basis for a supervised text classification model. We wiill present dataset characteristics, early text classification results, and the software tool that was used for the annotation of the pages.

Esta pesquisa investiga as métricas disponibilizadas por Repositórios Institucionais (RIs) brasileiros, destacando os desafios relacionados à padronização, acessibilidade e transparência desses indicadores. Com base em uma análise abrangente, o estudo discute o papel estratégico das métricas para avaliar a visibilidade e o consumo da produção científica.

OntoExhibit extends CIDOC-CRM by incorporating semantic-discursive dimensions into a queryable knowledge graph. The methodology integrates data from exhibition catalogs and art reviews using natural language processing and RDF mapping. This framework facilitates advanced SPARQL-based analyses, enabling a holistic view of exhibitions by bridging institutional and external narratives within cultural ecosystems.

This paper analyses how 20th-century Latin American women writers engaged with European archaeological heritage in their travel narratives, exploring emotional resonances and perspectives of otherness. Employing Digital Humanities tools such as XML-TEI, GIS, CIDOC-CRM, and sentiment analysis, it examines their perspectives, linking them to historical memory and political discourses in

The contribution focuses on the digital scholarly edition of a 17th-century Chinese-Spanish dictionary, the "Bocabulario de lengua sangleya por las letraz de el A.B.C." The manuscript offers valuable insights into the Southern Min language, also known as Hokkien, as spoken by Chinese immigrants in early Manila.

In Qing Dynasty (1644-1911) vernacular fiction, embedded poems serve as a powerful narrative device. Some scholars described these poems as “parasitic," while others argue that they serve purposes far beyond mere embellishment. Our work uses cutting-edge computational methods to investigate the variety of narrative functions of embedded poems.

This study analyzes 767 maps extracted from three Victorian British periodicals (1842-1890) using multimodal AI techniques. By clustering visually similar maps and extracting toponyms, our distant viewing of this corpus examines how news maps and imperial cartography intersected to shape public imagination of the British Empire through illustrated periodicals.

Un modelo de datos que formaliza un dominio de conocimiento en el campo de los estudios histórico-culturales bolivianos: un corpus de literatura de viajeros en el Chaco boliviano. Este corpus se presta a un análisis “lectura distante” porque involucra entidades muy variadas en cuanto al tipo y la distribución geográfica.

The Socface project aims to process the complete French historical censuses (1836-1936) using integrated handwriting recognition models to manage millions of records. Challenges include scaling workflows, ensuring data quality and developing integrated models for different layouts. The entire database will be openly accessible to enable extensive social and historical research.

Enhancing text-to-image (T2I) models for historical event reconstruction involves refining prompts with retrieved context via GPT-4o. This study evaluates alignment using QG-VQA metrics and Likert-scale ratings with history students and MLLMs. Results show improved performance on DALL-E 3, FLUX.1, and SDXL, surpassing baseline models and human-generated prompts.

This paper explores the visual dimension of German children’s literature (1801–1914) using a scalable viewing approach. By combining deep learning models and exploratory tools, we analyze 230,000 illustrations to uncover patterns in reading, play, and teaching scenes. The method bridges close and distant viewing, enriching research on historical visual archives.

The MAVEN project is an open-access tool designed to locate classical allusions in Enlightenment literature. This paper reports on two early steps: the generation of a dataset of 18th century French sentence-pairs rated by semantic similarity, and the performance of a sentence-transformer model trained on this dataset.

The purpose of this contribution is to present ALMA - Wissensnetze in der Mittelalterlichen Romania (Universität des Saarlandes), a new inter-institutional project that makes use of the tools offered by textual philology, lexicology, lexicography, linguistics, history, digital humanities, the semantic web and ontology engineering.

This study details the digitization of Larramendi's Trilingual Dictionary (1745) and prose text from the same author using open-source tools and public collaborative platforms like Wikidata and Wikisource. It highlights workflows for lexicographic annotation, integration with LOD, and other applications in historical linguistics, outlining future prospects for a digital edition.

This paper uses computational methods to explore the patterns of how key terms are detached from scholar’s names even as those names can come to stand for those ideas in both formal citation and more general reference across a corpus of English-language literary studies journals and monographs.

This short paper presentation covers current work-in-progress for development of the first-ever CLI and API that leverages language models to assist in philological research tasks for pre-modern texts. Specifically, this presentation focuses on how this software makes language models more accessible to classics scholars for real-world research tasks.

With the project ‘Collation of Multilingual Text’ (COMUTE), we tackle the problem of aligning multilingual versions of text that are not literal translations, but which have undergone a major revision process including extensive additions, deletions and rephrasings. Our approach based on a hierarchical alignment solves issues of current state-of-the-art methods.

Der Beitrag widmet sich der digitalen Modellierung von Dekanonisierungsprozessen serieller Frauenliteratur im 19. Jahrhundert und ihrer theoretischen Reflexion. Hierzu untersuchen wir Relationen zwischen Texten in Frauenzeitungen und historischen Kontexten. In multivariaten NLP-basierten Analysen werden Grade der vielfältigen Einflussfaktoren gemessen und Bedingungen der Evolution serieller Literatur in deutschsprachigen Frauenzeitschriften miteinander verglichen.

Glossaries appended to monographic treatments of historical mathematical Chinese texts are one of the most important references available for technical terms in that type of language. In this study, digital methods are used to explore such glossaries, with an focus on understanding what phenomena from the original texts are included.

The presentation showcases first results of a project aimed at representing the editorial transformations of the Children's and Household Tales of the Grimm brothers and demonstrates the variety of changes on several selected fairy tales. It further proposes a first insight into a scalable framework to visualize the editorial changes.

In 2024 I coauthored a forthcoming book, The Routledge Guide to Digital Humanities and Canadian Literature. This book presented a number of insights and challegns relevant to anyone attempting to write about the history and practice digital huamnities for a non-specialist audience. In this paper I will present lessons learned.

This presentation employs computational stylistics to analyze Yi Sang and Yŏm Sang-sŏp's works from Korea's colonial period. Using a custom sensory classification model, it quantifies stylistic and aesthetic differences with a focus on the body, revealing broader affective politics through characters' physical and psychological responses, extending beyond conventional emotion analysis.

This paper examined the relationship between the social situation of war and war writings in the British Romantic period by reviewing the topic modeling results and examining the visualized changes in war topics in books published between 1740 and 1840.

Connecting Threads explores connections between South Indian weavers and Caribbean consumers by linking small and large textile collections and archives to enhance access to global fashion histories. Featuring a PostgreSQL database and interactive visualizations, the paper details its technical development, collaborative methodology, and impact on equity and accessibility in DH.

The paper presents a two-pronged approach for fostering access to and use of digital archival holdings. This approach combines public use of HTR technologies and public involvement in producing interpretative digital scholarship. The framework presented seeks to encourage civic engagement and dialogue around the holdings.

We introduce novel datasets and fine-tuned VLM and LLM models for OCR and word-sense disambiguation for Jawi (a writing system used historically for Malay). Our OCR system that outperforms previous solutions with a Character Error Rate (CER) of 8.66%, and a context-aware word sense disambiguation model that achieves 99.2% accuracy.

The contribution proposes a verb-class-based approach for the coarse-grained semantic classification of literary texts. Our annotations classify verbal phrases based on the semantic class of their main verb. Despite potential quality issues at the micro level, we demonstrate that this approach can yield valuable insights at the story level.

This study uses statistical word frequency analysis to explore the Groot Verseboek anthology of Afrikaans poetry, examining dominant themes, stylistic trends, and shifts in socio-historical context. By combining Digital Humanities and literary analysis, it reveals how canon formation reflects cultural and ideological values, offering new perspectives on Afrikaans literature.

This presentation showcases a case study from VERITRACE, an ERC project using digital tools to identify the influence of ancient wisdom traditions on early modern science, highlighting connections between ancient texts and the works of Kepler, Galileo, and Descartes through text matching and semantic analysis, revealing multilingual traces of influence.

The project From Parchment to Computer offers courses on Textual Criticism and digital scholarly editing, blending theory and practice. It aims to train participants in creating digital editions, promote Digital Philology, enhance critical understanding of digital technologies, and contribute to democratizing access to these tools while advancing DH in Portugal.

This proposal aims to delineate the underlying concepts of the Cor framework’s adaptability and significance in the realm of digital humanities, emphasizing its diverse applications and innovative approaches.

“Race, Gender, and the Visual Culture of Domestic Labor” is a publicly accessible digital humanities project that presents an archive of tradecards and postcards depicting domestic labor, from the 1870s to the 1940s. In this paper, we describe the features of the archive and the techniques used to develop it.

Producing annotated corpora is essential for training annotation systems, but it is often a lengthy and expensive process. This paper introduces a method and a functional tool for transferring annotations from a source language to a target language, when relevant high-quality annotated corpora exist in a source language.

Presenters will discuss the evolution and future directions of the Kentucky Hispanic Heritage Project, highlighting how a backward design approach informed by community input has guided decision making about accessibility and source selection, positioning the project as engaged digital scholarship that celebrates the production of knowledge by the local community.

This study introduces Topic-Method Composition (TMC) to analyze the co-occurrence of research topics and methods in Digital Humanities. By constructing a TMC network from large-scale bibliographic data, it identifies key research paradigms, highlights DH’s interdisciplinary nature, and provides a replicable workflow for exploring topic-method relationships across academic disciplines.

Atualmente a preservação do património cultural carece de a inovação metodológica praticada para a gestão de coleções ser mais eficiente. Inovar metodologicamente a rastreabilidade através de métodos como QR Codes e RFID permitirá colmatar carências. Esta comunicação pretende explorar soluções aplicadas à museologia complementando o tradicional e a tecnologia.

This paper examines domain-specific knowledge graphs as transformative tools for Digital History, highlighting their ability to model complex relationships, support multilingual datasets, and integrate linked data essential for reconstructing fragmented narratives of sensitive events. It particularly explores Wikibase’s role in advancing historical research, cultural preservation, citizen participation, and open science.

This paper investigates the application of citizen science in cultural heritage through an ontology-based analysis of Scopus articles. By utilizing the Citizen Science Ontology, it examines project aims, tools, and outcomes. Findings underscore contributions, challenges, and future opportunities for advancing participatory approaches in preservation and promotion of cultural heritage.

A comparative study of the performance of large language models vs. metric analysis of Spanish folk song lyrics existing datasets, with qualitative data.

Poetic meters impose recurrent patterns on a language already dense with structured relationships. In large corpora, metrical effects accumulate into strong statistical regularities, becoming a major source of linguistic variation. In this paper we demonstrate how different meters distinctly shape seemingly unrelated feature distributions in Czech, German, and Russian corpora.

Esta proposta apresenta o Projeto Joanina Digital, dedicado à digitalização de cerca de 30 mil volumes da Biblioteca Joanina e à criação de uma plataforma multifuncional. Com base na teoria da remediação, serão explorados os desafios e os impactos técnicos, culturais e investigativos do projeto.

This methodological contribution deals with the problem of operationalising dramatic texts. More specifically, it introduces vectorisation according to structural features as a relatively novel and efficient option for accomplishing this task. Furthermore, it discusses potential and limitations of this methodology and presents some of its most recent applications in research.

This study presents a corpus-based approach to creating a SKOS vocabulary tailored for Ukrainian epigraphy. Integrating digital tools, NLP, and FAIR principles addresses gaps in cultural heritage preservation, offering scalable, efficient methods to document, analyze, and promote Ukrainian inscriptions while ensuring global research interoperability.

Set against the backdrop of recent debates in postcolonial studies, this paper uses a series of quantitative proxies for the categories of "literariness" and "cosmopolitanism" to situate the works of the postcolonial authors writing in English within a larger corpus of translations from South Asian and European languages.