This workshop will introduce several fundamental techniques for the computational analysis of early European printed books (15th-19th centuries). Techniques will include illustration detection; full-page segmentation; illustration matching and classification; OCR; and document understanding. Materials will include early printed editions of Dante; Spanish and Scottish chapbooks; and nineteenth-century books and periodicals.

This workshop is for researchers and libraries, archives, and museums professionals who seek to increase access and discovery with audiovisual archives. This workshop introduces AVAnnotate (https://av-annotate.org/), an open source application and a workflow that helps increase discoverability by facilitating building digital exhibits and editions that include annotated audiovisual artifacts.

The GOLEM ontology for narrative and fiction establishes a framework defining the interrelationships among key narratological elements, such as characters, social relationships, and events. In alignment with Linked Open Data principles, the GOLEM ontology is developed as an extension of CIDOC-CRM and LRMoo, while aligning with the foundational ontology DOLCE-Lite-Plus.

This research models and constructs a knowledge graph for the Koji-Ruien, a Meiji-era encyclopedia, focusing on its cited waka collections.
By structuring relationships between topics, citations, and references, the graph enables interconnections with historical sources, addressing challenges in citation detail availability for Waka and other referenced materials.

The Provenance Interface addresses the complexities of provenance research, providing a robust, FAIR-aligned platform for tracing cultural objects' histories. Developed for the OFP Project, it integrates advanced tools, standardization, and secure collaboration to streamline workflows, enhance data quality, and support the ethical identification and restitution of looted art and artifacts.

This paper explores techniques for automatic speaker attribution in literary novels using fine-tuned and prompted large language models.

A presente comunicação pretende promover uma reflexão deontológica sobre a integração de ferramentas de IA generativa no restauro digital de fotografias históricas. Através do debate teórico e exemplos práticos, são levantadas importantes questões que concernem a salvaguarda da autenticidade histórica, sendo necessária uma contribuição da humanística digital na sua aplicação.

Playwrights of the Spanish Baroque period (1600-1700) subverted classical theater conventions, creating new norms for the contemporary audience. In this paper we examine one new norm, the character archetype, 'gracioso' a humorous servant character. We investigate three aspects of the characterization of the gracioso using natural language processing tools.

“North York Recipes for Healing” (2023) is an open-access digital archive of oral histories, presented through ArcGIS Story map. The project documented the experience of the East Asian communities in Toronto, Canada during the COVID-19 pandemic, and encouraged the community to heal together through sharing culinary knowledge and stories.

The German Democratic Republic saw specific developments of pratices of dance during the division of Germany. Our contribution presents a pilot project to catalogue and preserve the cultural heritage of dance in the GDR through digital methods and engagement with contemporary witnesses.

The emergence of AI coding tools poses urgent questions about the future of Python education. What happens when "hacking" becomes easy? Does the streamlining of technical processes diminish the intellectual labor of coding? In this panel, four seasoned Python instructors consider the evolving role of Python—and programming broadly—in DH.

The presentation focuses on the questions of feasibility, access and inclusivity in DH education fostered through the use of Indian vernacular lanaguages for classroom instructions, translation and creation of academic resources. It uses case study analysis and survey methods as its methodology.

This paper will discuss findings from "Crowdsourced Data: Accuracy, Accessibility, Authority", a project investigating the successes and challenges that US-based LAM organizations experience when making crowdsourced transcription content accessible to blind and low vision users.

The paper will present the first mounting of a new digital philological method tackling the issues of managing too many variant readings

The purpose of this paper is to examine the identity of the author of an anonymous Rabbinic commentary using a new methodology utilizing new digital tools to scan vast amounts of text and analyze citation networks and stylistic patterns which are not revealed through routine human analysis.

Our project a contextual embedding model to a corpus of eighteenth-century British text in order to study the evolution of language that prefigures the emergence of modern disciplinarity. Our presentation shows that modern disciplines evolved far earlier and in very different ways than traditionally accounted for in current scholarship.

This study utilizes distant viewing and generative machine learning to explore heraldic images from 1450–1700 and reveal patterns in their circulation and adaptation. It designs tools for heraldic identification and interpretation, integrating image classification and ontology-based explanations. Results inform future research and a Citizen Science initiative engaging broader communities.

I argue that natural science discourse served as political rhetoric in mass produced British periodicals from 1826 to 1848. Digital methods reveal the incorporation of natural science discourse into popular periodicals in a network of reprinting, while close reading shows how natural science texts were recontextualized to produce political meanings.

In this long paper a visual interface, the "ReFa Reader", which combines narrations and the exploration of semantic graph structures is presented. After a brief introduction of the functionalities of the Reader, three workflows on how to reuse this Open Source Prototype by any project with semantic data are elaborated.

On a dataset containing correspondences from the literary period of Early Romanticism, this submission aims to uncover gaps and biases in the data, investigate their impact, and mitigate their effect. For this purpose, it develops a mixed methods-approach including the use of knowledge graphs, data visualisation, and historical network research.

The Linked Infrastructure for Networked Cultural Scholarship (LINCS) mobilizes Canadian scholarship through making, disseminating, and promoting the use of linked open data (LOD). This paper will reflect on the user-experience (UX) work done at LINCS, focussing on the roles of context and agency in supporting serendipity in a linked-data environment.

Previous work showed major differences in social networks of main characters and their relations of translations of a narrative. Here, we investigate reasons why this is the case. Quality of named entity recognition has the largest impact, while differences in language preferences do not have a major impact.

This submission will focus on a recent locative narrative in the context of contemporary Greek literary production (2021-2022)- Ismini Gatos' america² -and will reveal that space, time and body, in physical or digital terms can recontextualize the relationship of any user with the local environment and also with themselves.

This study constructs a digital narrative model for Chinese historical classics, supporting nonlinear, interactive storytelling and deep knowledge exploration through multidimensional narrative pathways.

This study explores the role of intertextuality in manuscript transmission using a Yule process model, extending previous birth-death approaches. Analysis of three major sets of medieval texts suggests that including speciation events better represents the heavy-tailed distribution of surviving witnesses per text.

Thanks to its microservices architecture, the eNDP application is designed as an access point to all the medieval resources available on Notre-Dame de Paris. We aim to present a method for valorizing and editorializing resources scattered across different research data repositories repositories, which takes advantage of their open APIs.

This paper reports on the outcomes of experimental work by the team involved with the Time Layered Cultural map (TLCMap) project funded by two Australian Research Council Linkage Infrastructure, Equipment and Facilities grants. It underlines the potential for digital mapping and digital humanities methodologies in historical and cultural heritage research.

The aim of the paper is to present the project “Ethnobotany of the Tambov region according to historical sources”. This is an ethnolinguistic and ethnobotanical study of the Tambov region traditional culture on the material of the lexical-semantic field “Plants”, with the use of the PhytoLex database.

This paper presents a framework for AI-driven heritage research at Silahtarağa Archive, a repository of historical documents and maps related to Istanbul's urban development. The authors outline their approach to digitization, data preparation, and AI methodology, enabling researchers to analyze and explore the evolution of Istanbul's urban landscape.

We investigated the semantic and rhetoric imagery of Kafka’s novel The Trial through three illustrated editions of the text. Using image analysis techniques and examining the relationship between images and corresponding texts, we found these illustrations more closely associated with sentences than chapters and uncovered their artistic and hermeneutic nuances.

This ongoing project provides a novel workflow for studying Weimar Germany’s political culture. By integrating text-hermeneutic investigation with quantitative digital analysis techniques, it enables new insights into historical newspaper discourses on democracy. The project, therefore, enhances historical newspaper research and contributes to the understanding of interwar Germany.

We hypothesize narrative volatility (shifts in sentiment between chunks of text) has an effect on appreciation and thus on ratings of fiction. We describe how we compute volatility and show its distribution over genre. We explain how we will use the result to test the hypothesis.

We analyze how often Indian English and German novels (2000–2024) refer to information technologies (IT), reflecting demographic, cultural, and societal differences. We use a word-list approach and and a large language model. The llm-based approach works well, but the result doesn't confirm our hypothesis that there is a significant difference.

This paper showcases layout analysis and OCR to make an under-researched, 120 year old crime journal accessible. It then uses a variety of text analysis tools for distant reading, exploring how crime was addressed at the time.

This study leverages dynamic contextual embeddings to analyze conceptual evolution in 18th-century French texts. Employing fine-tuned BERT and CamemBERT models, we identify diachronic semantic shifts across historical subcorpora. Quantitative metrics and qualitative assessments reveal nuanced changes in key concepts land concept clusters, advancing methods in computational intellectual history.

This study presents a historical interpretation system using relationship network graphs to analyze power dynamics, exemplified by civil officials' military authority. By integrating Retrieval-Augmented Generation (RAG) with large language models (LLMs), the system retrieves and interprets relational data, uncovering hidden details and enhancing historical text analysis with clear, explainable outputs.

This paper discusses digital humanities approaches, including Named Entity Recognition, machine learning OCR methods, and topic modeling of a handwritten Indigenous Journal by John Norton, Teyoninhokarawen. This recently-discovered journal is an account of Norton's travels from Canada to America and Britain; we use DH method to analyze the journal.

As Indigenous peoples continue to advocate for their rights and wellbeing, including in the digital sphere, this paper outlines the recommendations of the iREAL project to support Research Technology Professionals and Librarians to undertake requirements elicitation for AI/Machine Learning projects in libraries incorporating Indigneous data in a respectful manner.

This paper introduces iberz, a bibliographic database of translations into Yiddish, and performs a quantiative analysis of its contents. The database contains 1,375 translations from 1868–1993, which are linked to source texts, This data is made publically available in a GitHub repository, as well as via a web app.

This presentation introduces a web-based platform designed to address the challenges of AI integration in writing instruction. The platform (https://aawe.ai) enables instructors to control AI assistance levels while providing students with a distraction-free writing environment. Preliminary classroom use yields promise in balancing technological support with academic integrity.

Esta apresentação pretende dar a conhecer a base de dados inclusiva Mind_the_Blind,os seus objetivos e impacto na comunidade portuguesa. Pretende também criar pontos de contacto com outros investigadores em países com necessidades semelhantes, promovendo a colaboração e o intercâmbio de melhores práticas na formação em acessibilidade aos meios de comunicação.

This research investigates the integration of Digital Humanities in translation studies education through a survey of postgraduate students in Hong Kong. The findings reveal a gap between students' recognition of DH's importance and their expertise. The study proposes strategic interventions for curriculum development to enhance DH competencies in translation pedagogy.

This paper addresses issues of sustainability of digital resources, their use and reuse, particularly from the perspective of research infrastructures. We argue that research infrastructures – through the combined efforts of conceptual rethinking, technological solutions and strategic advocacy – have the potential to transform how we sustain and engage with DH scholarship.

This study evaluates five unsupervised sentiment analysis methods on Early Modern German and English texts, addressing challenges like semantic shifts and limited resources. Findings reveal significant limitations in current approaches, emphasizing the need for domain-specific-models, multilingual resources, and hybrid methodologies to enhance sentiment analysis for historical datasets and heritage preservation.

Il contributo che proponiamo è indirizzato a presentare l'avanzamento di un progetto di ricerca volto a definire un modello di digitalizzazione delle opere custodite nei depositi in seguito agli eventi sismici che hanno colpito l’Italia centrale tra il 2009 e il 2016.

How can we improve quantitative analysis by treating absence not as a lack of information, but as a different type of data? Using a seemingly complete dataset as a case study, we draw on postcolonial theory, intangible cultural heritage, and anthropology to explore what absence conveys about DH practices.

La ponencia se centra en recuperar el legado de María Lejárraga en el Teatro de Arte, analizando su papel en la incorporación de danza y música. Mediante análisis de redes basado en correspondencia, memorias y programas de mano, se demuestra cómo sus colaboraciones transformaron piezas teatrales en producciones coreográficas innovadoras.